Several organizations including the Environmental Protection Agency, World Health Organization and American Academy of Pediatrics recommend that hospital sound levels not exceed 45 decibels. Yet, several studies across multiple age groups have observed higher than recommended levels in the intensive care setting. Elevated sound levels in hospitals have been associated with disturbances in sleep, patient discomfort, delayed recovery, and delirium.

We measured sound levels in a pediatric cardiac intensive care unit and collected vital signs data, sedation dosing and delirium scores. During a 5-week study period, sound levels for 68 patients in 22 private and 4 semi-private rooms were monitored.

Sound levels were consistently above stated recommendations with an average daytime level of 50.6 decibels (maximum, 76.9 decibels) and an average nighttime level of 49.5 decibels (maximum, 69.6 decibels). An increase in average and maximum sound levels increased the probability of sedation administration the following hour (p-value < 0.001 and 0.01, respectively) and was predictive of an increase in heart rate and blood pressure (p-value < 0.001).

Sound levels in the CICU were consistently higher than recommended. An increase in heart rate, blood pressure and sedation utilization may suggest a stress response to persistent and sudden loud sounds. Given known negative impacts of excessive noise on stress, sleep, and brain development, as well as the similar adverse effects from the related use of sedative medications, reducing excessive and sudden noise may provide an opportunity to improve short- and long-term hemodynamic and neurodevelopmental outcomes in the pediatric cardiac intensive care unit.

To measure SARS-CoV-2 anti-nucleocapsid (anti-N) antibody seropositivity among healthcare personnel (HCP) without a history of COVID-19 and to identify HCP characteristics associated with seropositivity.

Prospective cohort study from September 22, 2020, to March 3, 2022.

A tertiary care academic medical center.

727 HCP without prior positive SARS-CoV-2 PCR testing were enrolled; 559 HCP successfully completed follow-up.

At enrollment and follow-up 1–6 months later, HCP underwent SARS-CoV-2 anti-N testing and were surveyed on demographics, employment information, vaccination status, and COVID-19 symptoms and exposures.

Of 727 HCP enrolled, 27 (3.7%) had a positive SARS-CoV-2 anti-N test at enrollment. Seropositive HCPs were more likely to have a household exposure to COVID-19 in the past 30 days (OR 7.92, 95% CI 2.44–25.73), to have had an illness thought to be COVID-19 (4.31, 1.94–9.57), or to work with COVID-19 patients more than half the time (2.09, 0.94–4.77). Among 559 HCP who followed-up, 52 (9.3%) had a positive SARS-CoV-2 anti-N antibody test result. Seropositivity at follow-up was associated with community/household exposures to COVID-19 within the past 30 days (9.50, 5.02–17.96; 2.90, 1.31–6.44), having an illness thought to be COVID-19 (8.24, 4.44–15.29), and working with COVID-19 patients more than half the time (1.50, 0.80–2.78).

Among HCP without prior positive SARS-CoV-2 testing, SARS-CoV-2 anti-N seropositivity was comparable to that of the general population and was associated with COVID-19 symptomatology and both occupational and non-occupational exposures to COVID-19.

Knowledge of sex differences in risk factors for posttraumatic stress disorder (PTSD) can contribute to the development of refined preventive interventions. Therefore, the aim of this study was to examine if women and men differ in their vulnerability to risk factors for PTSD.

As part of the longitudinal AURORA study, 2924 patients seeking emergency department (ED) treatment in the acute aftermath of trauma provided self-report assessments of pre- peri- and post-traumatic risk factors, as well as 3-month PTSD severity. We systematically examined sex-dependent effects of 16 risk factors that have previously been hypothesized to show different associations with PTSD severity in women and men.

Women reported higher PTSD severity at 3-months post-trauma. Z-score comparisons indicated that for five of the 16 examined risk factors the association with 3-month PTSD severity was stronger in men than in women. In multivariable models, interaction effects with sex were observed for pre-traumatic anxiety symptoms, and acute dissociative symptoms; both showed stronger associations with PTSD in men than in women. Subgroup analyses suggested trauma type-conditional effects.

Our findings indicate mechanisms to which men might be particularly vulnerable, demonstrating that known PTSD risk factors might behave differently in women and men. Analyses did not identify any risk factors to which women were more vulnerable than men, pointing toward further mechanisms to explain women's higher PTSD risk. Our study illustrates the need for a more systematic examination of sex differences in contributors to PTSD severity after trauma, which may inform refined preventive interventions.

Imitation has pervasive associations with social and communicative development. However, few methods have been developed to measure this construct in typically developing infants, and even less is available for at-risk populations, such as infants born preterm. Autism spectrum disorder (ASD), a particular risk of premature birth, is associated with atypical imitation and social communication. Although imitation emerges in infancy, most current screening and diagnostic tools for ASD cannot be utilized prior to 12 months. The present study aimed to develop and validate a caregiver-report measure of infant imitation, characterize imitation profiles at 4, 6, and 9 months in term and preterm infants, and explore the relationship between imitation and scores on an ASD screening questionnaire at 18 months.

Participants (N = 571) were recruited from a larger multi-site study of PediaTrac™ v3.0, a web-based tool for monitoring and tracking infant development, and were surveyed longitudinally at birth, 2, 4, 6, 9, 12, 15, and 18 months. Participants completed the online PediaTrac™ survey and several reliable and validated questionnaires via pen-and-paper format. For the purposes of this study, only the Ages and Stages Questionnaire (3rd ed.; ASQ-3), Communication and Symbolic Behavior Scales-Developmental Profile (CSBS-DP), Brief Infant Sleep Questionnaire (BISQ), and the Modified Checklist for Autism in Toddlers - Revised with Follow-Up (M-CHAT-R/F) were examined. The following hypotheses were tested: (1) proposed imitation items will represent a unitary latent construct, for which convergent and discriminant validity will be demonstrated, (2) there will be measurement invariance between term status groups at each assessment period, (3) preterm infants will obtain lower caregiver-reported imitation scores compared to term infants, and (4) imitation abilities at the assessment period with the most robust imitation factor will predict M-CHAT-R/F scores at 18 months.

Distinct imitation factors at 4, 6, and 9 months were modeled with confirmatory and exploratory factor analyses. Relationships between the factors and established measures of infant communication (CSBS; ASQ) and sleep (BISQ) revealed convergent and discriminant validity, respectively. Strict measurement invariance was demonstrated for the 4- and 9-month factors, and metric invariance for the 6-month measure. Full term infants scored higher on imitation at 9 months, though variance in this outcome was related to term status differences in sensorimotor skills. Lastly, the 9-month imitation factor, coupled with 6-month sensorimotor skills, predicted 18-month ASD risk over and above gestational age.

This study provides support for the assessment of infant imitation, utilizing imitation to detect risk in preterm infants, and extending the age of identification for ASD risk into the first year. PediaTrac™ imitation, in combination with the PediaTrac™ sensorimotor domain, may be useful in detecting developmental risk, and specifically risk for ASD, within the first year, leading to earlier initiation of intervention. Further, with its minimal completion time and ease of dissemination through digital platforms, this measure can expand access to care and improve long-term outcomes for children and families.

Research has established the importance of early identification and intervention for children with developmental disorders and delays. In striving toward earlier recognition and treatment of developmental concerns, it is crucial to have a universal system to monitor infant and toddler development over time. This system should comprehensively assess the desired areas of development, be based on normative data from large samples, and have strong psychometric properties. While a few developmental monitoring tools are currently in use, they lack many of the aforementioned qualities. The current study reports on the cross-sectional psychometric properties of PediaTrac, which is a novel caregiver-report measure of infant and toddler development. Specifically, this study focuses on psychometric properties of PediaTrac’s social/communication/cognition (SCG) domain during the first 9 months of life.

The current sample included 571 caregiver-infant dyads recruited into term (n=331) and preterm (n=240) groups. Participants were from the PediaTrac multisite, longitudinal study and were socioeconomically (41.9% below median income) and racially (33.6% Black, 47.6% White, 11.0% multiracial/other) diverse. Data included caregiver reports of infant development from the SCG domain of PediaTrac at 5 sampling periods (newborn, 2, 4, 6, and 9 months). Item response theory (IRT) graded response modeling was used to estimate theta, an index of the latent trait, social/communication/cognition. Exploratory factor analysis (EFA) was used to further examine the underlying structure of the SCG domain.

Mean theta values could be reliably estimated at all time periods and followed a linear trend consistent with development. At 9 months, theta values were statistically different between the term and preterm groups, indicating that term infants demonstrated more advanced SCG abilities. Item parameters (discrimination and difficulty) could be modeled at each time period across the range of ability. Reliability of the SCG domain ranged from 0.97 to 0.99. Results of the EFA suggested a two-factor solution (affect/emotional expression, social responsiveness) at the newborn period accounting for 43% of the variance, a three-factor solution (affect/emotional expression, social responsiveness, imitation/emerging communication) at the 2-, 4-, and 6-month periods accounting for 43%, 34%, and 34% of the variance, respectively, and a four-factor solution (affect expression, social responsiveness, imitation/communication, nonverbal/gestural communication) at the 9-month period accounting for 34% of the variance.

The PediaTrac SCG domain has strong psychometric properties, including reliability estimates higher than other existing caregiver-report measures of SCG abilities. EFA analyses demonstrated that the structure of affect/emotional expression and social responsiveness remains relatively stable and may reflect affective and regulatory aspects of temperament. Conversely, the quality and type of communication continually develops and becomes more differentiated throughout the time periods of interest. Notably, parents appear to be capable of observing and reliably reporting on their infants’ abilities in these areas. The use of a universal screening tool developed with rigorous psychometric methods, such as PediaTrac, could transform the way that clinicians identify infants in need of early intervention.

Coronavirus disease 2019 challenged the delivery of healthcare in Australia, disproportionately impacting vulnerable patients, including Aboriginal and/or Torres Strait Islander peoples and those living in remote regions. The otolaryngology service provided to remote Western Australia adapted to these barriers by altering clinical consultations to a digital model.

A review was undertaken of patients in regional Western Australia. Demographics and clinical outcomes from 20 live telehealth clinics were retrospectively reviewed and compared to 16 face-to-face clinics.

The demographics of patients reviewed in both live telehealth and face-to-face clinics were similar, except for a larger proportion of Aboriginal and/or Torres Strait Islander patients utilising telehealth. The outcomes of patients reviewed through each model of care were comparable. Live video-otoscopy provided diagnostic quality images in 92 per cent of cases.

The findings of our review suggest that, despite its limitations, a large proportion of ENT patients may be safely assessed through a live telehealth model.

To determine the prevalence of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) IgG nucleocapsid (N) antibodies among healthcare personnel (HCP) with no prior history of COVID-19 and to identify factors associated with seropositivity.

Prospective cohort study.

An academic, tertiary-care hospital in St. Louis, Missouri.

The study included 400 HCP aged ≥18 years who potentially worked with coronavirus disease 2019 (COVID-19) patients and had no known history of COVID-19; 309 of these HCP also completed a follow-up visit 70–160 days after enrollment. Enrollment visits took place between September and December 2020. Follow-up visits took place between December 2020 and April 2021.

At each study visit, participants underwent SARS-CoV-2 IgG N-antibody testing using the Abbott SARS-CoV-2 IgG assay and completed a survey providing information about demographics, job characteristics, comorbidities, symptoms, and potential SARS-CoV-2 exposures.

Participants were predominately women (64%) and white (79%), with median age of 34.5 years (interquartile range [IQR], 30–45). Among the 400 HCP, 18 (4.5%) were seropositive for IgG N-antibodies at enrollment. Also, 34 (11.0%) of 309 were seropositive at follow-up. HCP who reported having a household contact with COVID-19 had greater likelihood of seropositivity at both enrollment and at follow-up.

In this cohort of HCP during the first wave of the COVID-19 pandemic, ∼1 in 20 had serological evidence of prior, undocumented SARS-CoV-2 infection at enrollment. Having a household contact with COVID-19 was associated with seropositivity.

Childhood adversities (CAs) predict heightened risks of posttraumatic stress disorder (PTSD) and major depressive episode (MDE) among people exposed to adult traumatic events. Identifying which CAs put individuals at greatest risk for these adverse posttraumatic neuropsychiatric sequelae (APNS) is important for targeting prevention interventions.

Data came from n = 999 patients ages 18–75 presenting to 29 U.S. emergency departments after a motor vehicle collision (MVC) and followed for 3 months, the amount of time traditionally used to define chronic PTSD, in the Advancing Understanding of Recovery After Trauma (AURORA) study. Six CA types were self-reported at baseline: physical abuse, sexual abuse, emotional abuse, physical neglect, emotional neglect and bullying. Both dichotomous measures of ever experiencing each CA type and numeric measures of exposure frequency were included in the analysis. Risk ratios (RRs) of these CA measures as well as complex interactions among these measures were examined as predictors of APNS 3 months post-MVC. APNS was defined as meeting self-reported criteria for either PTSD based on the PTSD Checklist for DSM-5 and/or MDE based on the PROMIS Depression Short-Form 8b. We controlled for pre-MVC lifetime histories of PTSD and MDE. We also examined mediating effects through peritraumatic symptoms assessed in the emergency department and PTSD and MDE assessed in 2-week and 8-week follow-up surveys. Analyses were carried out with robust Poisson regression models.

Most participants (90.9%) reported at least rarely having experienced some CA. Ever experiencing each CA other than emotional neglect was univariably associated with 3-month APNS (RRs = 1.31–1.60). Each CA frequency was also univariably associated with 3-month APNS (RRs = 1.65–2.45). In multivariable models, joint associations of CAs with 3-month APNS were additive, with frequency of emotional abuse (RR = 2.03; 95% CI = 1.43–2.87) and bullying (RR = 1.44; 95% CI = 0.99–2.10) being the strongest predictors. Control variable analyses found that these associations were largely explained by pre-MVC histories of PTSD and MDE.

Although individuals who experience frequent emotional abuse and bullying in childhood have a heightened risk of experiencing APNS after an adult MVC, these associations are largely mediated by prior histories of PTSD and MDE.

Racial and ethnic groups in the USA differ in the prevalence of posttraumatic stress disorder (PTSD). Recent research however has not observed consistent racial/ethnic differences in posttraumatic stress in the early aftermath of trauma, suggesting that such differences in chronic PTSD rates may be related to differences in recovery over time.

As part of the multisite, longitudinal AURORA study, we investigated racial/ethnic differences in PTSD and related outcomes within 3 months after trauma. Participants (n = 930) were recruited from emergency departments across the USA and provided periodic (2 weeks, 8 weeks, and 3 months after trauma) self-report assessments of PTSD, depression, dissociation, anxiety, and resilience. Linear models were completed to investigate racial/ethnic differences in posttraumatic dysfunction with subsequent follow-up models assessing potential effects of prior life stressors.

Racial/ethnic groups did not differ in symptoms over time; however, Black participants showed reduced posttraumatic depression and anxiety symptoms overall compared to Hispanic participants and White participants. Racial/ethnic differences were not attenuated after accounting for differences in sociodemographic factors. However, racial/ethnic differences in depression and anxiety were no longer significant after accounting for greater prior trauma exposure and childhood emotional abuse in White participants.

The present findings suggest prior differences in previous trauma exposure partially mediate the observed racial/ethnic differences in posttraumatic depression and anxiety symptoms following a recent trauma. Our findings further demonstrate that racial/ethnic groups show similar rates of symptom recovery over time. Future work utilizing longer time-scale data is needed to elucidate potential racial/ethnic differences in long-term symptom trajectories.

Trichotillomania (TTM) and skin picking disorder (SPD) are common and often debilitating mental health conditions, grouped under the umbrella term of body-focused repetitive behaviors (BFRBs). Recent clinical subtyping found that there were three distinct subtypes of TTM and two of SPD. Whether these clinical subtypes map on to any unique neurobiological underpinnings, however, remains unknown.

Two hundred and fifty one adults [193 with a BFRB (85.5% [n = 165] female) and 58 healthy controls (77.6% [n = 45] female)] were recruited from the community for a multicenter between-group comparison using structural neuroimaging. Differences in whole brain structure were compared across the subtypes of BFRBs, controlling for age, sex, scanning site, and intracranial volume.

When the subtypes of TTM were compared, low awareness hair pullers demonstrated increased cortical volume in the lateral occipital lobe relative to controls and sensory sensitive pullers. In addition, impulsive/perfectionist hair pullers showed relative decreased volume near the lingual gyrus of the inferior occipital–parietal lobe compared with controls.

These data indicate that the anatomical substrates of particular forms of BFRBs are dissociable, which may have implications for understanding clinical presentations and treatment response.

Although non-suicidal self-injury (NSSI) is an issue of major concern to colleges worldwide, we lack detailed information about the epidemiology of NSSI among college students. The objectives of this study were to present the first cross-national data on the prevalence of NSSI and NSSI disorder among first-year college students and its association with mental disorders.

Data come from a survey of the entering class in 24 colleges across nine countries participating in the World Mental Health International College Student (WMH-ICS) initiative assessed in web-based self-report surveys (20 842 first-year students). Using retrospective age-of-onset reports, we investigated time-ordered associations between NSSI and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-IV) mood (major depressive and bipolar disorder), anxiety (generalized anxiety and panic disorder), and substance use disorders (alcohol and drug use disorder).

NSSI lifetime and 12-month prevalence were 17.7% and 8.4%. A positive screen of 12-month DSM-5 NSSI disorder was 2.3%. Of those with lifetime NSSI, 59.6% met the criteria for at least one mental disorder. Temporally primary lifetime mental disorders predicted subsequent onset of NSSI [median odds ratio (OR) 2.4], but these primary lifetime disorders did not consistently predict 12-month NSSI among respondents with lifetime NSSI. Conversely, even after controlling for pre-existing mental disorders, NSSI consistently predicted later onset of mental disorders (median OR 1.8) as well as 12-month persistence of mental disorders among students with a generalized anxiety disorder (OR 1.6) and bipolar disorder (OR 4.6).

NSSI is common among first-year college students and is a behavioral marker of various common mental disorders.

The recent DSM-5 criteria for delirium can lead to different rates of delirium and different case identification.

The aims of this study were to determine how the new DSM-5 criteria might differ from the previous DSM-IV in detecting rates of delirium in elderly medical inpatients and to investigate the agreement between different methods, including the DSM III, DSM III-R, DSM-IV and DSM-5 criteria.

Prospective, observational study of elderly patients aged 70+ admitted under the acute medical teams in a regional general hospital. Each participant was assessed within 3 days using the DSM-5, and DSM-IV criteria plus the DRS-R98, CAM and MoCA scales.

The studied sample included 200 patients. The prevalence rates of delirium for each diagnostic system/scale were respectively for DSM-5 n=26 (13.0%), DSM-IV n=39 (19.5%), DRS-R98 n=27 (13.5%) and for CAM n=34 (17.0%). Using tetrachoric correlation coefficients the agreement between DSM-5 and DSM-IV was statistically significant (rhotetr=0.64, SE= 0.1, p<0.0001). Similar significant agreement was found between the four methods.

DSM-IV identifies more delirium cases compared to any other method and DSM-5 is the more restrictive. These classification systems identify different cases of delirium. This could have clinical, financial and research implications. However, both classification systems (and their antecedents) have significant agreement in the identification of the same concept (delirium). Clarity of diagnosis is required for classification but also has implications for prediction of outcomes, further research looking at outcomes could assist a more in depth evaluation of the DSM-5 criteria.