Longitudinal Model Research Articles

A longitudinal path model examining the transactional nature of parenting and child externalizing behaviors in a large, sociodemographically diverse sample.

Children's externalizing behaviors are associated with impairments across the lifespan. Developmental psychopathology theories propose transactional (bidirectional) associations between child externalizing behaviors and parenting during childhood and adolescence. Yet, these foundational relations in early childhood are not well-studied. Utilizing a large, mixed-sex sample, we examined the reciprocal nature of parenting and child externalizing behaviors across early childhood using robust repeated-measures models. Repeated measures data were drawn from a socioeconomically diverse, longitudinal pregnancy cohort of 1287 (64% Black, 31% White) mother-child dyads at four time points (ages one to six). Three variables were included in cross-lagged panel models: observed parenting quality, child externalizing symptoms, and a maternal risk composite. In covariate-adjusted models, higher parenting quality at Wave 1 predicted lower child externalizing symptoms at Wave 2. Higher externalizing symptoms at Wave 1 and Wave 2 predicted lower parenting quality at Wave 2 and Wave 3, respectively. Maternal risk and parenting quality were not significantly associated. Findings showed both parent-driven and child-driven effects across early childhood that did not vary by child sex. The transactional nature of the parent-child relationship begins in infancy, underscoring the importance of early screening and provision of supports for families to minimize and prevent the development of serious psychopathology.

Effect of educational intervention based on the theory of planned behavior (TPB) on amount of salt intake in pregnant women with PreHypertension

BackgroundPrehypertension is one of the common disorders during pregnancy. Reducing salt intake is among the best cost-effective interventions to reduce the risk of hypertension. The present study aimed to explore the effect of an educational intervention based on the Theory of Planned Behavior (TPB) on amount of salt consumed by prehypertensive pregnant women.MethodsThe present quasi-experimental study was conducted in 2022 on 61 prehypertensive pregnant women visiting the Comprehensive Health Services Centers in Birjand, Iran. Pregnant women were selected through a convenience sampling method and randomly assigned to intervention and control groups. A blood pressure test and a 24-hour urine test were taken in 3 stages (before, immediately after, and one month after the intervention). A reliable and valid questionnaire based on the TPB was used to measure the cognitive variables. The intervention program included three training sessions based on the TPB held on an online platform (WhatsApp social network). Data were analyzed using repeated measures ANOVA and longitudinal marginal model with the GEE approach in SPSS19. The significance level for all statistical tests was set at p < 0 0.05.ResultsAfter intervention, the mean score of perceived behavioral control (p = 0.02), intention (p = 0.004), and salt consumption behavior (p = 0.03) increased significantly in the intervention group, and the mean score of systolic blood pressure (p < 0.001) and diastolic blood pressure (P < 0.01) decreased significantly in this group. In the control group, a statistically significant difference was observed in the systolic and diastolic blood pressure of the subjects (p < 0.01). However, the score of attitude, subjective norms, perceived behavioral control, intention, salt consumption behavior and the daily salt intake did not show a statistically significant difference over time (P < 0.05).ConclusionThe present findings showed that the perceived behavioral control, intention, behavior, systolic and diastolic blood pressure can be modifiable variables to improve the amount of salt consumed by pre-hypertensive pregnant women. Therefore, we recommend that the present model be used to develop interventions to improve health indicators in pregnant women as a highly susceptible group in society.

Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach

Wheelchair basketball, regulated by the International Wheelchair Basketball Federation, is a sport designed for individuals with physical disabilities. This article presents a data-driven tool that effectively determines optimal team lineups based on past performance data and metrics for player effectiveness. Our proposed methodology involves combining a Bayesian longitudinal model with an integer linear problem to optimize the lineup of a wheelchair basketball team. To illustrate our approach, we use real data from a team competing in the Rollstuhlbasketball Bundesliga, namely the Doneck Dolphins Trier. We consider three distinct performance metrics for each player and incorporate uncertainty from the posterior predictive distribution of the longitudinal model into the optimization process. The results demonstrate the tool’s ability to select the most suitable team compositions and to calculate posterior probabilities of several players playing together in the best composition.

Developmental trajectories of students' beliefs about social success: Differences between students with and without a middle school transition.

Attaining social success is a significant concern during early adolescence. The characteristics that youth believe will bring social success are known to change over time and vary across contexts, especially over the transition to middle school. The analytic sample included 614 students (52% girls, 48% boys; 53% Black, 47% White) from the Midwestern United States. At yearly intervals during grades 6-8, participants completed self-report surveys assessing their endorsement of five characteristics (sincerity, academic responsibility, dominance, disingenuity, athleticism/attractiveness) that described peers in their grade who have lots of friends and get along well with others (i.e., social success). The sample included students who attended the same school from kindergarten-eighth grade (K8) and students who made a transition from an elementary to a middle school after 6th grade (ESMS). Multigroup longitudinal growth models revealed some concerning trends over time. For both ESMS and K8 students, their endorsement of sincerity decreased, their endorsement of disingenuity increased, and their endorsement of athleticism/attractiveness was high and stable. ESMS students' endorsement of academic responsibility decreased over time and their endorsement of dominance showed increasing trends. K8 students' endorsements of academic responsibility and dominance were stable. However, across contexts, compared to the other characteristics, sincerity was most often ranked the highest. The findings highlight that some changes in students' beliefs about social success may be unique to students who experience a school transition whereas others may be developmentally normative. Implications for the education of young adolescent students are discussed.

Hospital stays and probable dementia as predictors of relocation to long-term care facilities.

This study aims to investigate the relocation of older adults in the US from community living to long-term care facilities (LTCFs). Specifically, it examines the predictive roles of possible and probable dementia and hospital stays in this complex health care transition. Utilizing data from the National Health and Aging Trends Study, a longitudinal cohort study (2011-2019), we employed a panel data approach, which consists of multiple observations over time for the same participants, allowing us to account for both cross-sectional variations (differences between participants) and time-series variations (changes in the same participant over time). The analysis involved longitudinal logistic regression models. Using the AD8 dementia screening interview, clock drawing test, immediate and delayed word recall test, orientation, and history of dementia diagnosis, we placed participants into categories of having no dementia, possible dementia, and probable dementia. A survey asked about hospital stays in the past year. Relocation to LTCFs was examined based on the changes to the living location. The proportion of individuals transitioning to LTCFs tripled between 2011 and 2019, emphasizing the need to understand and manage this health care transition. Hospital stays significantly increased the probability of moving to LTCFs, especially nursing homes. Probable dementia demonstrated a 3-fold increase, aligning with the rising prevalence of Alzheimer disease. Difficulty walking and climbing stairs significantly increased relocation probabilities. The study findings emphasize complexity in late-life relocations influenced by dementia and hospital stays. Screening for cognitive function among community-dwelling older adults, particularly those with a history of hospital stays and mobility difficulties, can inform interventions and policies. Implications extend to health care policy, geriatric care, and the imperative for targeted interventions considering demographic variations. Future research should explore additional variables and address limitations to refine our understanding of the relocation process.

Multimodal data-driven, vertical visualization prediction model for early prediction of atherosclerotic cardiovascular disease in patients with new-onset hypertension.

: Hypertension is an important contributing factor to atherosclerotic cardiovascular disease (ASCVD), and multiple risk factors, many of which are implicated in metabolic disorders, contribute to the cause of hypertension. Despite the promise of multimodal data-driven prediction model, no such prediction model was available to predict the risk of ASCVD in Chinese individuals with new-onset hypertension and no history of ASCVD. : A total of 514 patients were randomly allocated to training and verification cohorts (ratio, 7 : 3). We employed Boruta feature selection and conducted multivariate Cox regression analyses to identify variables associated with ASCVD in these patients, which were subsequently utilized for constructing the predictive model. The performance of prediction model was assessed in terms of discriminatory power (C-index), calibration (calibration curves), and clinical utility [decision curve analysis (DCA)]. : This model was derived from four clinical variables: 24-h SBP coefficient of variation, 24-h DBP coefficient of variation, urea nitrogen and the triglyceride-glucose (TyG) index. Bootstrapping with 500 iterations was conducted to adjust the C-indexes were C-index = 0.731, 95% confidence interval (CI) 0.620-0.794 and C-index: 0.799, 95% CI 0.677-0.892 in the training and verification cohorts, respectively. Calibration plots with 500 bootstrapping iterations exhibited a strong correlation between the predicted and observed occurrences of ASCVD in both the training and verification cohorts. DCA analysis confirmed the clinical utility of this prediction model. The constructed nomogram demonstrated significant additional prognostic utility for ASCVD, as evidenced by improvements in the C-index, net reclassification improvement, integrated discrimination improvement, and DCA compared with the overall ASCVD risk assessment. The developed longitudinal prediction model based on multimodal data can effectively predict ASCVD risk in individuals with an initial diagnosis of hypertension. : The trial was registered in the Chinese Clinical Trial Registry (ChiCTR2300074392).

Sibling relational aggression: Developmental change and associations with family relationships across adolescence.

Sibling relational aggression is an understudied social and family process that is of developmental significance in adolescence, a period of interpersonal relationship development. This study examined developmental change in sibling relational aggression across adolescence and used multilevel actor-partner independence models to test its longitudinal associations with mother-adolescent, father-adolescent, and sibling relationship qualities. Participants were 196 adolescent (firstborn-secondborn) sibling pairs from predominantly White families who averaged 16.47 years (SD = .80) and 13.88 years (SD = 1.15) of age, respectively, at baseline. Data were collected separately from each sibling during home interviews at three timepoints, each spaced a year apart. Longitudinal growth modeling revealed declines in sibling relational aggression from early to late adolescence. Findings from longitudinal multilevel actor-partner independence models revealed a negative within-person (WP) effect of father-adolescent intimacy and a positive WP effect of father-adolescent conflict on sibling relational aggression: On occasions when adolescents reported lower intimacy or more conflict with their fathers than usual (compared to individuals' own cross-time averages), adolescents reported experiencing more sibling relational aggression than usual. A between-person (BP) effect of mother-adolescent conflict also indicated that the cross-time average of mother-adolescent conflict was linked positively to the cross-time average of sibling relationship aggression. Primarily at the WP level, associations also emerged between lower sibling intimacy and higher sibling conflict and sibling relational aggression. For relationships with fathers and siblings, some effects were moderated by sibling structural characteristics. Discussion highlights the interplay of family relationship dynamics, including gender dynamics, and sibling relational aggression in adolescence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cardiovascular Health Starts in the Womb.

Hypertension has largely been viewed as a disorder of adulthood. Historically, blood pressure (BP) was not routinely measured in children because hypertension was considered uncommon in childhood. It was not until the 1970s that it was apparent that in childhood BP levels were normally lower compared with those in adults, were related to age and growth, and that abnormal BP in children needed different definitions. Based on the distribution of BP levels in available child cohorts, the 95th percentile of BP levels became the definition of hypertension in children and adolescents-an epidemiological definition. Subsequent clinical and epidemiological research identified associated risk factors in childhood that linked abnormal BP in youth with hypertension in adulthood. In the 1980s, the Barker hypothesis, based on observations that low birth weight could be linked to cardiovascular disease in adulthood, promoted further research spanning epidemiological, clinical, and basic science on the childhood origins of hypertension. This review focuses on recent findings from both longitudinal maternal-child cohorts and experimental models that examine both maternal and offspring conditions associated with risks of subsequent cardiovascular disease.

Switching to Low Neurotoxic Antiretrovirals to Improve Neurocognition Among People Living With HIV-1-Associated Neurocognitive Disorder: The MARAND-X Randomized Clinical Trial

Background: The pathogenesis of HIV-associated neurocognitive (NC) impairment is multifactorial, and antiretroviral (ARV) neurotoxicity may contribute. However, interventional pharmacological studies are limited. Methods: Single-blind, randomized (1:1), controlled trial to assess the change of NC performance (Global Deficit Score, GDS, and domain scores) in PLWH with NC impairment randomized to continue their standard of care treatment or to switch to a less neurotoxic ARV regimen: darunavir/cobicistat, maraviroc, emtricitabine (MARAND-X). Participants had plasma and cerebrospinal fluid HIV RNA&lt; 50 copies/mL, R5-tropic HIV, and were on ARV regimens that did not include efavirenz and darunavir. The change of resting-state electroencephalography was also evaluated. The outcomes were assessed at week 24 of the intervention through tests for longitudinal paired data and mixed-effect models. Results: Thirty-eight participants were enrolled and 28 completed the follow-up. Global Deficit Score improved over time but with no difference between arms in longitudinal adjusted models. Perceptual functions improved in the MARAND-X, while long-term memory improved only in participants within the MARAND-X for whom the central nervous system penetration-effectiveness (CNS penetration effectiveness) score increased by ≥3. No significant changes in resting-state electroencephalography were observed. Conclusions: In this small but well-controlled study, the use of less neurotoxic ARV showed no major beneficial effect over an unchanged regimen. The beneficial effects on the memory domain of increasing CNS penetration effectiveness score suggest that ARV neuropenetration may have a role in cognitive function.

Monitoring Changes in Walkability Over Time: An Environmental Exposure Change Detection Framework with Implications for Equity and Social Justice

Evidence suggests that walkability and greenspace impact travel related activity patterns and vehicle emissions which affect sustainability, public health, and equity. Resulting levels of physical activity, active, or sedentary travel time impact obesity, diabetes, and heart disease which impact COVID-19 mortality. It is now possible to track changes in locally controlled land use characteristics known to impact sustainability and health. This information can provide decisionmakers with feedback required to spatially prioritize and better link state and nationally funded transportation investments with locally sanctioned land use actions. Linking the achievement of established benchmarks of health equity-based indicators with funding establishes a more performance-based approach connecting land use with transportation investment. This study longitudinally tracks neighborhood-level walkability features at the census tract level for 2013 and 2020 for the entire USA. Longitudinal volatility-based change detection models are developed to examine how changes in walkability over time correlate with racialization and social justice. Walkability tends to increase over time with significant variations across metro regions and the urban-rural continuum. Largest and smallest increases in walkability were observed in Western Pacific and Northwest states, respectively. Increased racial and social justice disparities were observed in access to more walkable infrastructure by marginalized populations (such as less-educated, older, unemployed, and black individuals). Significant heterogeneity in the spatial distribution of walkability was observed, over the variation captured by observed sociodemographic, regional, and urban/rural factors. The findings highlight the potential for an “environmental surveillance” system to support a “performance-based” approach to transportation funding that prioritizes resource allocation consistent with Justice40 and United Nation's Sustainable Development Goals.

Culturally appropriate options for diabetes self‐management: Results from a patient‐centered comparative effectiveness study

AbstractThis project compared the effectiveness of two evidence‐based models of culturally competent diabetes health promotion: the diabetes self‐management support empowerment model (DSMS) and the chronic care model (CCM). Our primary outcome was improvement in patient capacity for diabetes self‐management as measured by the diabetes knowledge questionnaire (DKQ) and the patient activation measure (PAM). Our secondary outcome was patient success at diabetes self‐management as measured by improvement in A1c, depression scores using the PHQ‐9, and body mass index (BMI). We also gathered data on the cultural competence of the program using the Consumer Assessment of Healthcare Providers and Systems Cultural Competence Set. We compared patient outcomes in two existing sites in Albuquerque, New Mexico that serve a large population of Latinx diabetes patients from low‐income households. Participants were enrolled as dyads—a patient participant (n = 226) and a social support participant (n = 226). Outcomes over time and by program were analyzed using longitudinal linear mixed modeling, adjusted for patient participant demographic characteristics and other potential confounding covariates. Secondary outcomes were also adjusted for potential confounders. Interactions with both time and program helped to assess outcomes. This study did not find a difference between the two sites with respect to the primary outcome measures and only one of the three secondary outcomes showed differential results. The main difference between programs was that depression decreased more for CCM than for DSMS. An exploratory, subgroup analysis revealed that at CCM, patient participants with a very high A1c (&gt;10) demonstrated a clinically meaningful decrease. However, given the higher cultural competence rating for the CCM, statistically significant improvement in depression, and the importance of social support to the patients, results suggest that a culturally and contextually situated diabetes self‐management and education program design may deliver benefit for patients, especially for patients with higher A1c levels.Key Points The team was interdisciplinary. The information presented describes results of both qualitative and quantitative data and involves interpretations that are interdisciplinary in nature. The study design used methods from multiple disciplines.

Loneliness, Internalizing and Externalizing Problems, and Suicidal Ideation Among Chinese Adolescents: A Longitudinal Mediation Analysis

PurposeResearch indicates that loneliness and emotional and behavioral problems increase the risk of suicidal ideation in adolescents, but less is known about the distinct contributions of these problems. This study aimed to distinguish the pathways through which loneliness, internalizing problems, and externalizing problems contribute to suicidal ideation in Chinese adolescents. MethodsWe did a longitudinal mediation analysis with data collected at 3 time points (2021.05, 2021.10, and 2022.05) from 28 Taizhou high schools. Loneliness and suicidal ideation were assessed using the UCLA 3-Item Loneliness Scale and one suicide item from the Children’s Depression Inventory, respectively. The Strength and Difficulties Questionnaire assessed internalizing (emotional and peer problems) and externalizing problems (conduct and hyperactivity problems). Structural equation modeling was used to construct complete longitudinal path models. ResultsUsing data from 2,190 adolescents in junior and senior high schools, we found that loneliness, internalizing problems, and externalizing problems separately contributed to subsequent higher levels of suicidal ideation. Most notably, loneliness predicted worse subsequent internalizing problems (β = 0.279, p < .001) and externalizing problems (β = 0.159, p < .001), which in turn predicted more severe suicidal ideation (β = 0.019, p < .001; β = 0.018, p < .001). Loneliness also partially mediated the association between internalizing or externalizing problems and suicidal ideation. DiscussionLoneliness, internalizing problems, and externalizing problems were strongly intertwined with suicidal ideation in adolescents. Public health initiatives could reduce loneliness and emotional and behavioral problems by implementing multifaceted interventions, thereby breaking the vicious circle and protecting against the development of suicidal ideation.

Do New Words Propagate like Memes? An Internet Usage-Based Two-Stage Model of the Life Cycle of Neologisms

Neologisms reflect new ideas or new concepts in our life and play an important role in cultural transmission and the vitality of human language. The explosion of neologisms, especially in the past two decades, can also be ascribed to the popularity and accessibility of digital content and social media. In this paper, we focus on the issue of how neologisms arise by looking at the trajectory of developments in terms of their usage over time, i.e., their life cycle. By studying neologisms in vivo, instead of as fait accompli, we hope to better understand the nature of neologisms and to enable better prediction and earlier inclusion of neologisms. To achieve this goal, we examine the memetic model for the life cycle of neologisms and compare it with a recently studied epidemic model. We present a longitudinal modeling of the development of neologisms based on internet usage data aggregated from Google Trends, covering the 90 most influential Chinese neologisms from 2008–2016. Our study verifies that the memetic model can describe and predict the life cycle of the neologisms robustly for the early stages (i.e., the ascending stages) of its cycle, but not for its full life cycle, and crucially cannot predict the inflection point. We conclude that two models are needed for word propagation: a memetic model for the initial stages and an epidemic model for the latter stage, particularly the inflection point. This two-stage/two-model approach allows for neologisms to be more easily identified as potentially new words, as it is easier to write a program to automatically filter for emerging terms using a memetic model.

A Longitudinal Model for a Dynamic Risk Score to Predict Delayed Cerebral Ischemia after Subarachnoid Hemorrhage.

Accurate longitudinal risk prediction for DCI (delayed cerebral ischemia) occurrence after subarachnoid hemorrhage (SAH) is essential for clinicians to administer appropriate and timely diagnostics, thereby improving treatment planning and outcome. This study aimed to develop an improved longitudinal DCI prediction model and evaluate its performance in predicting DCI between day 4 and 14 after aneurysm rupture. Two DCI classification models were trained: (1) a static model based on routinely collected demographics and SAH grading scores and (2) a dynamic model based on results from laboratory and blood gas analysis anchored at the time of DCI. A combined model was derived from these two using a voting approach. Multiple classifiers, including Logistic Regression, Support Vector Machines, Random Forests, Histogram-based Gradient Boosting, and Extremely Randomized Trees, were evaluated through cross-validation using anchored data. A leave-one-out simulation was then performed on the best-performing models to evaluate their longitudinal performance using time-dependent Receiver Operating Characteristic (ROC) analysis. The training dataset included 218 patients, with 89 of them developing DCI (41%). In the anchored ROC analysis, the combined model achieved a ROC AUC of 0.73 ± 0.05 in predicting DCI onset, the static and the dynamic model achieved a ROC AUC of 0.69 ± 0.08 and 0.66 ± 0.08, respectively. In the leave-one-out simulation experiments, the dynamic and voting model showed a highly dynamic risk score (intra-patient score range was 0.25 [0.24, 0.49] and 0.17 [0.12, 0.25] for the dynamic and the voting model, respectively, for DCI occurrence over the course of disease. In the time-dependent ROC analysis, the dynamic model performed best until day 5.4, and afterwards the voting model showed the best performance. A machine learning model for longitudinal DCI risk assessment was developed comprising a static and a dynamic sub-model. The longitudinal performance evaluation highlighted substantial time dependence in model performance, underscoring the need for a longitudinal assessment of prediction models in intensive care settings. Moreover, clinicians need to be aware of these performance variations when performing a risk assessment and weight the different model outputs correspondingly.

Optimization-based Path Planning With Integrated Longitudinal and Lateral Models for Platooning

Optimization-based Path Planning With Integrated Longitudinal and Lateral Models for Platooning

Estimating effects of aging and disease progression in current and former smokers using longitudinal models

ObjectivesTo separate estimates of mean change in a health outcome into components of aging and disease progression for different severity groups of chronic obstructive pulmonary disease (COPD). Study design and methodsA longitudinal model can be used to estimate mean change in a health outcome over time. Methods to separate this change into portions due to aging and disease progression are discussed, including conditions that allow for accurate estimation. Linear mixed models were used to estimate these changes for forced expiratory volume in 1 s (FEV1) for various COPD severity and smoking groups using a large cohort (COPDGene) followed for over 10 years. ResultsBased on an analysis of 4967 subjects, age-related loss in FEV1 was found to be about 1 % per year, consistent with published work. Excess average losses (those beyond natural aging) were significant for all severity groups (except nonsmokers), including those with smoking history but normal lung function. Subjects in higher severity groups tended to have less loss in FEV1, but more relative loss, compared to baseline averages. Losses in FEV1 that included both aging and disease progression ranged from 1 to 3 % over severity groups, with current smokers generally exhibiting greater mean losses in FEV1 than former smokers. DiscussionEffects of disease progression separate from aging can be estimated in observational studies, although care should be taken in order to make sure assumptions involving this separation are reasonable for a given study. This article demonstrates methods to estimate such effects using temporal changes in lung function for subjects in the COPDGene study.

Sleepless in the Pursuit of perfection: A longitudinal investigation of bidirectional relationships between insomnia and perfectionism in Adolescent males and females

Study objectivesPerfectionism is a possible risk factor for insomnia, yet longitudinal evidence of this relationship in adolescence is lacking. Cross-sectional evidence suggests the nature of the relationship may differ based on biological sex, and the form of perfectionism, since socially prescribed and self-oriented critical perfectionism are conceptualised as maladaptive for wellbeing, while self-oriented striving may be adaptive or neutral. This study aimed to investigate longitudinal bidirectional relationships between total perfectionism, and sub-forms of perfectionism (i.e., socially prescribed, self-oriented critical, self-oriented striving perfectionism), and symptoms of insomnia, over the course of mid-adolescence. Longitudinal models were examined for males and females separately. Methods434 adolescents (Mage = 14.25, SD = 0.56, range = 13–16, 52 % male) completed questionnaire measures of perfectionism (Child-Adolescent Perfectionism Scale) and insomnia (Insomnia Severity Index) on three annual occasions (at approximately 14, 15 & 16 years of age). Data were from the larger Risks to Adolescent Wellbeing (RAW) Project. ResultsBiological sex did not moderate the association between insomnia symptoms and any form of perfectionism. Cross-lagged panel models showed no longitudinal relationship between self-oriented striving, nor self-oriented critical perfectionism and insomnia symptoms for males or females. Higher total perfectionism predicted moderate increases in insomnia symptoms for males and females, but insomnia symptoms did not predict changes in total perfectionism. Socially prescribed perfectionism and insomnia symptoms predicted large and moderate increases in one another over time, respectively, forming a perpetuating cycle. ConclusionsResults suggest that perfectionism may be an important risk factor for insomnia symptoms in adolescents.

Patient-reported outcomes in patients with metastatic non-squamous non-small cell lung cancer from the randomized Phase II PERLA trial comparing first-line chemotherapy plus dostarlimab or pembrolizumab

BackgroundPERLA (NCT04581824) compared efficacy and safety of dostarlimab (DCT) or pembrolizumab (PCT) plus chemotherapy as first-line treatment for metastatic non-small cell lung cancer. Here, we report patient-reported outcomes (PROs; exploratory analysis) from PERLA. MethodsPatients were randomized 1:1 to receive DCT or PCT every 3 weeks (Q3W) for ≤ 35 cycles [C]. PROs (EORTC QLQ-C30 and QLQ-LC13, PRO-CTCAE, FACT-GP5) were collected at baseline, Q3W until C4, Q9W until C16, Q12W until end of treatment and at 30-day safety follow-up. Change from baseline and time to deterioration (TTD) in QLQ-C30 and QLQ-LC13 were analyzed using longitudinal mixed models and Kaplan–Meier estimators, respectively. ResultsThe PRO (DCT/PCT) datasets included 102/99 patients for QLQ-C30, 96/90 for QLQ-LC13, 96/88 for PRO-CTCAE, and 95/87 for FACT-GP5. Completion rates were > 80 % to C4, then decreased in both arms. For QLQ-C30 and QLQ-LC13, most patients reported stable/improved responses at C13 (∼ 9 months on treatment), with similar responses between arms except more patients reported improvements in dyspnea (QLQ-C30: 36.4 % vs 13.0 %; QLQ-LC13: 40.6 % vs 25.0 %) and chest pain (QLQ-LC13: 34.4 % vs 10.0 %) with DCT vs PCT. TTD per QLQ-C30 and QLQ-LC13 were similar between arms, although TTD in dyspnea was longer with DCT vs PCT (QLQ-LC13: 4.24 vs 1.54 months; p = 0.0168). Most patients in both arms reported that adverse events occurred occasionally/rarely/never with moderate/mild severity. Overall, patients reported little/no bother from treatment side effects. ConclusionsDCT maintained health-related quality of life similarly to PCT and was well tolerated, supporting the PERLA primary results and dostarlimab use in future regimens.

Comparison of patient-reported outcomes between alternative care provider-led and physician-led care for severe sleep disordered breathing: secondary analysis of a randomized clinical trial

BackgroundPrevious research has suggested that alternative (respiratory) care providers (ACP) may provide affordable, accessible care for sleep-disordered breathing (SDB) that decreases wait-times and improves clinical outcomes. The objective of this study was to compare ACP-led and sleep physician-led care for SDB on patient reported outcome and experiences, with a focus on general and health-related quality of life, sleepiness, and patient satisfaction.MethodsWe conducted a secondary analysis of a randomized trial in which participants with severe SDB were assigned to either ACP-led or physician-led management. We created longitudinal linear mixed models to assess the impacts of treatment arm and timepoint on total and domain-level scores of multiple patient-reported outcome measures and patient-reported experience measures.ResultsPatients in both treatment arms (ACP-led n = 81; sleep-physician = 75) reported improved outcomes on the Sleep Apnea Quality of Life Index, Health Utilities Index, and Epworth Sleepiness Scale. Patients in each group had similar and clinically meaningful improvements on domains assessing cognition, emotion, and social functioning. The linear mixed models suggested no significant difference between treatment arms on the patient-reported outcomes. However, scores significantly improved over time.ConclusionsManagement of SDB using ACPs was comparable to physician-led care, as measured bypatient-reported outcome and experience measures. While loss to follow-up limits our findings, these results provide some support for the use of this novel health service delivery model to improve access to high quality SDB care.Clinical trial registrationThis is analysis of data from the study registered Clinicaltrials.gov (NCT02191085).

Study on the thermal radiation characteristics caused by two fires in a tunnel based on multi-layer zone model

The radiation of fire source and hot flue gas plays a very important role in the process of smoke movement. The radiation effect, which was little included in the earlier studies, was included in the present work. So the thermal radiation characteristics caused by two fires will be studied in a tunnel combined with multi-layer zone (MLZ) model, small-scale experiments and numerical simulations. Based on the data obtained by the aforementioned methods, research on the thermal radiation model is carried and a piecewise fire source model is proposed. Subsequently, the longitudinal thermal radiation model caused by two fires in a tunnel is investigated and then modified and verified. The results showed that the thermal radiation model caused by two fires for MLZ model in a tunnel is reliable, which can make a general and reliable judgment on the immediate fire disaster situation, and can also provide reference for the follow-up work.