Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.

T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).

PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).

PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.

Risks and priorities change during the management of public health incidents. Here we describe a new tool, the Incident Management Measurement Tool (IMMT), that can be used to inform midcourse corrections during public health emergencies and realistic exercises.

We developed the IMMT through a literature review and subject matter expert interviews. We field tested the tool in 23 incidents ranging in size, duration, and complexity, making changes based on user feedback.

The IMMT consists of 2 modular data collection methods, a survey of the incident management team and a protocol for a peer assessor. Pilot testing suggested that the tool is valid, reliable, feasible, and useful.

Measurement of public health incident management is feasible and may be useful for improving response times and outcomes. Moreover, a limited set of standard measures is relevant to a wide range of incident response contexts.

Head and neck squamous cell carcinomas (HNSCCs) are aggressive tumours lacking a standardised timeline for treatment initiation post-diagnosis. Delays beyond 60 days are linked to poorer outcomes and higher recurrence risk.

A retrospective review was conducted on patients over 18 with HNSCC treated with (chemo)radiation at a rural tertiary care centre (September 2020–2022). Data on patient demographics, oncologic characteristics, treatment details and delay causes were analysed using SPSS.

Out of 93 patients, 35.5% experienced treatment initiation delays (TTIs) over 60 days. Median TTI was 73 days for delayed cases, compared to 41.5 days otherwise. No significant differences in demographics or cancer characteristics were observed between groups. The primary reasons for the delay were care coordination (69.7%) and patient factors (18.2%). AJCC cancer stage showed a trend towards longer delays in advanced stages.

One-third of patients faced delayed TTI, primarily due to care coordination and lack of social support. These findings highlight the need for improved multidisciplinary communication and patient support mechanisms, suggesting potential areas for quality improvement in HNSCC treatment management.

Neuropsychiatric symptoms are common after traumatic brain injury (TBI) and often resolve within 3 months post-injury. However, the degree to which individual patients follow this course is unknown. We characterized trajectories of neuropsychiatric symptoms over 12 months post-TBI. We hypothesized that a substantial proportion of individuals would display trajectories distinct from the group-average course, with some exhibiting less favorable courses.

Participants were level 1 trauma center patients with TBI (n = 1943), orthopedic trauma controls (n = 257), and non-injured friend controls (n = 300). Trajectories of six symptom dimensions (Depression, Anxiety, Fear, Sleep, Physical, and Pain) were identified using growth mixture modeling from 2 weeks to 12 months post-injury.

Depression, Anxiety, Fear, and Physical symptoms displayed three trajectories: Stable-Low (86.2–88.6%), Worsening (5.6–10.9%), and Improving (2.6–6.4%). Among symptomatic trajectories (Worsening, Improving), lower-severity TBI was associated with higher prevalence of elevated symptoms at 2 weeks that steadily resolved over 12 months compared to all other groups, whereas higher-severity TBI was associated with higher prevalence of symptoms that gradually worsened from 3–12 months. Sleep and Pain displayed more variable recovery courses, and the most common trajectory entailed an average level of problems that remained stable over time (Stable-Average; 46.7–82.6%). Symptomatic Sleep and Pain trajectories (Stable-Average, Improving) were more common in traumatically injured groups.

Findings illustrate the nature and rates of distinct neuropsychiatric symptom trajectories and their relationship to traumatic injuries. Providers may use these results as a referent for gauging typical v. atypical recovery in the first 12 months post-injury.

This study investigates the impact of primary care utilisation of a symptom-based head and neck cancer risk calculator (Head and Neck Cancer Risk Calculator version 2) in the post-coronavirus disease 2019 period on the number of primary care referrals and cancer diagnoses.

The number of referrals from April 2019 to August 2019 and from April 2020 to July 2020 (pre-calculator) was compared with the number from the period January 2021 to August 2022 (post-calculator) using the chi-square test. The patients’ characteristics, referral urgency, triage outcome, Head and Neck Cancer Risk Calculator version 2 score and cancer diagnosis were recorded.

In total, 1110 referrals from the pre-calculator period were compared with 1559 from the post-calculator period. Patient characteristics were comparable for both cohorts. More patients were referred on the cancer pathway in the post-calculator cohort (pre-calculator patients 51.1 per cent vs post-calculator 64.0 per cent). The cancer diagnosis rate increased from 2.7 per cent in the pre-calculator cohort to 3.3 per cent in the post-calculator cohort. A lower rate of cancer diagnosis in the non-cancer pathway occurred in the cohort managed using the Head and Neck Cancer Risk Calculator version 2 (10 per cent vs 23 per cent, p = 0.10).

Head and Neck Cancer Risk Calculator version 2 demonstrated high sensitivity in cancer diagnosis. Further studies are required to improve the predictive strength of the calculator.

Recurring outbreaks of cholera coupled with lack of laboratory diagnostic capacity in low resource settings fuels clinicians’ reliance on clinical case definitions and highlights the importance of accurate diagnostic guidelines. While “rice-water” stool color is the hallmark predictor of cholera, few have examined the diagnostic accuracy of this assessment. This study assesses the sensitivity, specificity and positive and negative predictive value (PPV; NPV) of classifying stool color as “rice”, “clear” (i.e. watery) or “rice or clear” stool by either the patient or nurse for diagnosing cholera.

From March 2019-2020, a random sample of patients presenting to the International Centre for Diarrhoeal Diseases Research, Bangladesh with acute diarrhea who had a stool sample obtained were included in this analysis (N=2135).

Of the 1198 (56.1%) of patients that had culture growth, 641 (53.5%) were positive for Vibrio cholerae. “Rice” stool was reported by 518 (23.8%) patients and 640 (29.5%) nurses, while “clear” stool was reported by 1081 (49.8%) patients and 353 (16.3%) nurses. When observed by nurses, both “rice” (76%) and “clear” (85%) stool were reasonably specific but not very sensitive for cholera (44% and 20%, respectively). The combined “rice or clear” colored stool had the best balance of sensitivity (65%) and specificity (61%) with a PPV of 42% and NPV of 80%. When reported by patients, “rice” stool had high specificity for cholera (76%) but low sensitivity (25%), while “clear” stool had both poor sensitivity (54%) and specificity (51%).

Current international guidance that recommends classifying watery (clear) stool as cholera in outbreaks may still miss many patients with culture confirmed cholera even when the stool color is observed by trained health professionals and is likely not useful at all self-reported by patients. The combination of “rice or clear” diarrhea may provide somewhat more accurate assessments.

Effective incident management is essential for coordinating efforts of multiple disciplines and stakeholders when responding to emergencies, including public health disasters such as the ongoing coronavirus disease 2019 (COVID-19) pandemic.

Existing research frameworks tend to focus on formal structures and doctrine (eg, ICS-NIMS); however, organizational processes that underlie incident management have not been systematically assessed and synthesized into a coherent conceptual framework.

The lack of a framework has hindered the development of measures of performance that could be used to further develop the evidence base and facilitate process improvement. To address this gap, we present a conceptual framework of incident management drawn from expert feedback and a review of literature on incident management and related fields. The framework features 23 measurement constructs grouped into 5 domains: (1) situational awareness and information sharing, (2) incident action and implementation planning, (3) resource management and mobilization, (4) coordination and collaboration, and (5) feedback and continuous quality improvement.

As such, the article provides a first step toward the development of robust measures for assessing the performance and effectiveness of incident management systems.

To identify prescriber characteristics that predict antibiotic high-prescribing behavior to inform statewide antimicrobial stewardship interventions.

Retrospective analysis of 2016 IQVIA Xponent, formerly QuintilesIMS, outpatient retail pharmacy oral antibiotic prescriptions in Tennessee.

Statewide retail pharmacies filling outpatient antibiotic prescriptions.

Prescribers who wrote at least 1 antibiotic prescription filled at a retail pharmacy in Tennessee in 2016.

Multivariable logistic regression, including prescriber gender, birth decade, specialty, and practice location, and patient gender and age group, to determine the association with high prescribing.

In 2016, 7,949,816 outpatient oral antibiotic prescriptions were filled in Tennessee: 1,195 prescriptions per 1,000 total population. Moreover, 50% of Tennessee’s outpatient oral antibiotic prescriptions were written by 9.3% of prescribers. Specific specialties and prescriber types were associated with high prescribing: urology (odds ratio [OR], 3.249; 95% confidence interval [CI], 3.208–3.289), nurse practitioners (OR, 2.675; 95% CI, 2.658–2.692), dermatologists (OR, 2.396; 95% CI, 2.365–2.428), physician assistants (OR, 2.382; 95% CI, 2.364–2.400), and pediatric physicians (OR, 2.340; 95% CI, 2.320–2.361). Prescribers born in the 1960s were most likely to be high prescribers (OR, 2.574; 95% CI, 2.532–2.618). Prescribers in rural areas were more likely than prescribers in all other practice locations to be high prescribers. High prescribers were more likely to prescribe broader-spectrum antibiotics (P < .001).

Targeting high prescribers, independent of specialty, degree, practice location, age, or gender, may be the best strategy for implementing cost-conscious, effective outpatient antimicrobial stewardship interventions. More information about high prescribers, such as patient volumes, clinical scope, and specific barriers to intervention, is needed.