Validation of Lung Ultrasound for COVID-19 Prognostication in an International Multicenter Cohort Study.

BACKGROUND: Despite many studies evaluating lung ultrasound (LUS) for COVID-19 prognostication, the generalizability and utility across clinical settings is uncertain. METHODS: Adults (≥18 years of age) with COVID-19 were enrolled at two military hospitals, an emergency department, home visits, and a homeless shelter in the United States, and in a referral hospital in Uganda. Participants had a 12-zone LUS scan performed at time of enrollment and clips were read off-site. The primary outcome was progression to higher level of care after the ultrasound scan. We calculated the cross-validated area under the curve for the validation cohort for individual LUS features. RESULTS: We enrolled 191 participants with COVID-19 were enrolled (57.9% female, median age 45.0 years, interquartile range [IQR]: 31.5, 58.0). Nine participants clinically deteriorated. The top predictors of worsening disease in the validation cohort measured by cross-validated area under the curve (cvAUC) were B-lines (0.88, 95% confidence interval [CI]: 0.87, 0.90), discrete B-lines (0.87, 95% CI: 0.85, 0.88), oxygen saturation (0.82, 95%: CI:0.81, 0.84), and A-lines (0.80, 95% CI: 0.78, 0.81). CONCLUSIONS: In an international multisite POCUS cohort, LUS parameters had high discriminative accuracy. Ultrasound can be applied towards triage across a wide breadth of care settings during a pandemic.

Evaluation of C-Reactive Protein and Computer-Aided Analysis of Chest X-rays as Tuberculosis Triage Tests at Health Facilities in Lesotho and South Africa.

BACKGROUND: To improve tuberculosis case-finding, rapid, non-sputum triage tests need to be developed according to the World Health Organization target product profile (TPP) (>90% sensitivity, >70% specificity). We prospectively evaluated and compared artificial intelligence-based, computer-aided detection software, CAD4TBv7, and C-reactive protein assay (CRP) as triage tests at health facilities in Lesotho and South Africa. METHODS: Adults (≥18 years) presenting with ≥1 of the 4 cardinal tuberculosis symptoms were consecutively recruited between February 2021 and April 2022. After informed consent, each participant underwent a digital chest X-ray for CAD4TBv7 and a CRP test. Participants provided 1 sputum sample for Xpert MTB/RIF Ultra and Xpert MTB/RIF and 1 for liquid culture. Additionally, an expert radiologist read the chest X-rays via teleradiology. For primary analysis, a composite microbiological reference standard (ie, positive culture or Xpert Ultra) was used. RESULTS: We enrolled 1392 participants, 48% were people with HIV and 24% had previously tuberculosis. The receiver operating characteristic curve for CAD4TBv7 and CRP showed an area under the curve of .87 (95% CI: .84-.91) and .80 (95% CI: .76-.84), respectively. At thresholds corresponding to 90% sensitivity, specificity was 68.2% (95% CI: 65.4-71.0%) and 38.2% (95% CI: 35.3-41.1%) for CAD4TBv7 and CRP, respectively. CAD4TBv7 detected tuberculosis as well as an expert radiologist. CAD4TBv7 almost met the TPP criteria for tuberculosis triage. CONCLUSIONS: CAD4TBv7 is accurate as a triage test for patients with tuberculosis symptoms from areas with a high tuberculosis and HIV burden. The role of CRP in tuberculosis triage requires further research. CLINICAL TRIALS REGISTRATION: Clinicaltrials.gov identifier: NCT04666311.

PCDHGB7 hypermethylation-based Cervical cancer Methylation (CerMe) detection for the triage of high-risk human papillomavirus-positive women: a prospective cohort study.

BACKGROUND: Implementation of high-risk human papillomavirus (hrHPV) screening has greatly reduced the incidence and mortality of cervical cancer. However, a triage strategy that is effective, noninvasive, and independent from the subjective interpretation of pathologists is urgently required to decrease unnecessary colposcopy referrals in hrHPV-positive women. METHODS: A total of 3251 hrHPV-positive women aged 30-82 years (median = 41 years) from International Peace Maternity and Child Health Hospital were included in the training set (n = 2116) and the validation set (n = 1135) to establish Cervical cancer Methylation (CerMe) detection. The performance of CerMe as a triage for hrHPV-positive women was evaluated. RESULTS: CerMe detection efficiently distinguished cervical intraepithelial neoplasia grade 2 or worse (CIN2 +) from cervical intraepithelial neoplasia grade 1 or normal (CIN1 -) women with excellent sensitivity of 82.4% (95% CI = 72.6 ~ 89.8%) and specificity of 91.1% (95% CI = 89.2 ~ 92.7%). Importantly, CerMe showed improved specificity (92.1% vs. 74.9%) in other 12 hrHPV type-positive women as well as superior sensitivity (80.8% vs. 61.5%) and specificity (88.9% vs. 75.3%) in HPV16/18 type-positive women compared with cytology testing. CerMe performed well in the triage of hrHPV-positive women with ASC-US (sensitivity = 74.4%, specificity = 87.5%) or LSIL cytology (sensitivity = 84.4%, specificity = 83.9%). CONCLUSIONS: PCDHGB7 hypermethylation-based CerMe detection can be used as a triage strategy for hrHPV-positive women to reduce unnecessary over-referrals. TRIAL REGISTRATION: ChiCTR2100048972. Registered on 19 July 2021.

Analysis of the diagnostic performance of PAX1/SOX1 gene methylation in cervical precancerous lesions and its role in triage diagnosis.

Methylation panels, tools for investigating epigenetic changes associated with diseases like cancer, can identify DNA methylation patterns indicative of disease, providing diagnostic or prognostic insights. However, the application of methylation panels focusing on the sex-determining region Y-box 1 (SOX1) and paired box gene 1 (PAX1) genes for diagnosing cervical lesions is under-researched. This study aims to examine the diagnostic performance of PAX1/SOX1 gene methylation as a marker for cervical precancerous lesions and its potential application in triage diagnosis. From September 2022 to April 2023, 181 patients with abnormal HPV-DNA tests or cytological exam results requiring colposcopy were studied at Hubei Maternal and Child Health Hospital, China. Data were collected from colposcopy, cytology, HPV-DNA tests, and PAX1/SOX1 methylation detection. Patients were categorized as control, cervical intraepithelial neoplasia Grade 1 (CIN1), Grade 2 (CIN2), Grade 3 (CIN3), and cervical cancer (CC) groups based on histopathology. We performed HPV testing, liquid-based cytology, and PAX1/SOX1 gene methylation testing. We evaluated the diagnostic value of methylation detection in cervical cancer using DNA methylation positivity rate, sensitivity, specificity, and area under the curve (AUC), and explored its potential for triage diagnosis. PAX1/SOX1 methylation positivity rates were: control 17.1%, CIN1 22.5%, CIN2 100.0%, CIN3 90.0%, and CC 100.0%. The AUC values for PAX1 gene methylation detection in diagnosing CIN1+, CIN2+, and CIN3+ were 0.52 (95% confidence interval [CI]: 0.43-0.62), 0.88 (95% CI: 0.80-0.97), and 0.88 (95% CI: 0.75-1.00), respectively. Corresponding AUC values for SOX1 gene methylation detection were 0.47 (95% CI: 0.40-0.58), 0.80 (95% CI: 0.68-0.93), and 0.92 (95% CI: 0.811-1.00), respectively. In HPV16/18-negative patients, methylation detection showed sensitivity of 32.4% and specificity of 83.7% for CIN1+. For CIN2+ and CIN3+, sensitivity was all 100%, with specificities of 83.0% and 81.1%. Among the patients who underwent colposcopy examination, 166 cases had cytological examination results ≤ASCUS, of which 37 cases were positive for methylation, and the colposcopy referral rate was 22.29%. PAX1/SOX1 gene methylation detection exhibits strong diagnostic efficacy for cervical precancerous lesions and holds significant value in triage diagnosis.

Should we use risk selection tests for HPV 16 and/or 18 positive cases: Comparison of p16/Ki67 and cytology.

Major screening abnormalities in precolposcopic stage are tests results that imply direct referral to colposcopy (and/or expedited treatment) without performing additional high-grade squamous intraepithelial lesions or worse (HSIL+) risk selection testing. Currently, both clinically validated HSIL+ risk selection tests, reflex cytology and reflex p16/Ki67 dual staining (DS), are being compared for use in primary human papillomavirus (HPV)-based screening to avoid possible overtreatment, but there is still no sufficient data available for their performance. Among 30 066 liquid-based cervical cancer screening tests results, a group of 332 women was selected with available high-risk types of HPV tests results with 16/18 limited genotyping, liquid-based cytology, DS, and histology results from standardized colposcopy with biopsy. In HPV 16/18+ cases, three triage approaches were retrospectively analyzed. Predictive values for detection of HSIL+ were calculated and number of colposcopies required in each strategy. Both triage models with DS used (reflex cytology followed by DS, and reflex DS alone in all cases) had significantly higher positive predictive value for HSIL+ than strategy with reflex cytology alone (44.2%/45.7% vs. 28.3%; p < 0.0001). In models with DS, less colposcopies were required (95/92 vs. 152) and less colposcopies were needed per HSIL+ detection (2.26/2.19 vs. 3.54). Only one HSIL+ case was missed in both triage models with DS incorporation. p16/Ki67 dual-stain may be an effective, alone or combined with cytology, triage test to detect HSIL+ in patients with major screening abnormalities in primary HPV-based cervical cancer screening. Performing cytology as the first triage test improves the strategy by enabling referrals to expedited treatment in selected cases.

SuPAR, biomarkers of inflammation, and severe outcomes in patients hospitalized for COVID-19: The International Study of Inflammation in COVID-19.

Severe coronavirus disease 2019 (COVID-19) is a hyperinflammatory syndrome. The biomarkers of inflammation best suited to triage patients with COVID-19 are unknown. We conducted a prospective multicenter observational study of adult patients hospitalized specifically for COVID-19 from February 1, 2020 to October 19, 2022. Biomarkers measured included soluble urokinase plasminogen activator receptor (suPAR), C-reactive protein, interleukin-6, procalcitonin, ferritin, and D-dimer. In-hospital outcomes examined include death and the need for mechanical ventilation. Patients admitted in the United States (US, n = 1962) were used to compute area under the curves (AUCs) and identify biomarker cutoffs. The combined European cohorts (n = 1137) were used to validate the biomarker cutoffs. In the US cohort, 356 patients met the composite outcome of death (n = 197) or need for mechanical ventilation (n = 290). SuPAR was the most important predictor of the composite outcome and had the highest AUC (0.712) followed by CRP (0.642), ferritin (0.619), IL-6 (0.614), D-dimer (0.606), and lastly procalcitonin (0.596). Inclusion of other biomarkers did not improve discrimination. A suPAR cutoff of 4.0 ng/mL demonstrated a sensitivity of 95.4% (95% CI: 92.4%-98.0%) and negative predictive value (NPV) of 92.5% (95% CI: 87.5%-96.9%) for the composite outcome. Patients with suPAR < 4.0 ng/mL comprised 10.6% of the cohort and had a 0.8% probability of the composite outcome. Applying this cutoff to the validation cohort yielded a sensitivity of 93.8% (90.4%-96.7%) and NPV of 95.5% (93.1%-97.8%) for the composite outcome. Among commonly measured biomarkers, suPAR offered stronger discriminatory ability and may be useful in triaging low-risk patients with COVID-19.

How Healthcare Providers Decide on a Referral Location in Telephone Triage: A Cross-sectional Study.

BACKGROUND: Approximately 25% of patients that present to the emergency department (ED) do so after contact with a healthcare professional. Many of these patients could be effectively managed in non-ED ambulatory settings. Aligning patients with safe and appropriate outpatient care has the potential to improve ED overcrowding, patient experience, outcomes, and costs. Little is understood about how healthcare providers approach triage decision-making and what factors influence their choices. OBJECTIVES: To evaluate how providers think about patient triage, and what factors influence their decision-making when triaging patient calls. DESIGN: Cross-sectional survey-based study in which participants make triage decisions for hypothetical clinical scenarios. PARTICIPANTS: Healthcare providers in the specialties of internal medicine, family medicine, or emergency medicine within a large integrated healthcare system in the Southeast. MAIN MEASURES: Differences in individual training and practice characteristics were used to compare observed differences in triage outcomes. Free-response data were evaluated to identify themes and factors affecting triage decisions. KEY RESULTS: Out of 72 total participants, substantial variability in triage decision-making was observed among all patient cases. Attending physicians triaged 1.4 fewer cases to ED care compared with resident physicians (p < 0.001, 95% CI 0.62-2.1). Academic attendings demonstrated a trend toward fewer cases to ED care compared with community attendings (0.61, p = 0.188, 95% CI - 0.31-1.5). Qualitative data highlighted the complex considerations in provider triage and led to the development of a novel conceptual model to describe the cognitive triage process and the main influencing factors. CONCLUSIONS: Triage decision-making for healthcare providers is influenced by many factors related to clinical resources, care coordination, patient factors, and clinician factors. The complex considerations involved yield variability in triage decisions that is largely unexplained by descriptive physician factors.

Personalised exercise rehabilitation in cancer survivorship: the percs triage and referral system study protocol.

BACKGROUND: To effectively embed exercise rehabilitation in cancer survivorship care, a co-ordinated system of acute and community exercise rehabilitation services, forming a stepped model of care, is recommended. Patients can be directed to the exercise rehabilitation service which best meets their needs through a system of assessment, triage and referral. Triage and referral systems are not yet widely applied in cancer survivorship practice and need to be evaluated in real-world contexts. The PERCS (Personalised Exercise Rehabilitation in Cancer Survivorship) study aims to evaluate the real-world application of an exercise rehabilitation triage and referral system in cancer survivors treated during the COVID-19 pandemic. Secondary aims are to evaluate change in physical and psychosocial outcomes, and to qualitatively evaluate the impact of the system and patient experiences, at three months after application of the triage and referral system. METHODS: This study will assess the implementation of an exercise rehabilitation triage and referral system within the context of a physiotherapy-led cancer rehabilitation clinic for cancer survivors who received cancer treatment during the COVID-19 pandemic. The PERCS triage and referral system supports decision making in exercise rehabilitation referral by recommending one of three pathways: independent exercise; fitness professional referral; or health professional referral. Up to 100 adult cancer survivors treated during the COVID-19 pandemic who have completed treatment and have no signs of active disease will be recruited. We will assess participants' physical and psychosocial wellbeing and evaluate whether medical clearance for exercise is needed. Participants will then be triaged to a referral pathway and an exercise recommendation will be collaboratively decided. Reassessment will be after 12 weeks. Primary outcomes are implementation-related, guided by the RE-AIM framework. Secondary outcomes include physical function, psychosocial wellbeing and exercise levels. Qualitative analysis of semi-structured interviews guided by the Consolidated Framework for Implementation Research (CFIR) will provide insights on implementation and system impact. DISCUSSION: The PERCS study will investigate the real-world application of a cancer rehabilitation triage and referral system. This will provide proof of concept evidence for this triage approach and important insights on the implementation of a triage system in a specialist cancer centre. TRIAL REGISTRATION: This study is registered on ClinicalTrials.gov, registration number: NCT05615285, date registered: 21st October 2022.

Feasibility of Physiotherapist-Led Rheumatology Triage: A Randomized Study.

OBJECTIVE: Given global shortages in the rheumatology workforce, the demand for rheumatology assessment often exceeds the capacity to provide timely access to care. Accurate triage of patient referrals is important to ensure appropriate utilization of finite resources. We assessed the feasibility of physiotherapist (PT)-led triage using a standardized protocol in identifying cases of inflammatory arthritis (IA), as compared to usual rheumatologist triage of referrals for joint pain, in a tertiary care rheumatology clinic. METHODS: We performed a single-center, prospective, nonblinded, randomized, parallel-group feasibility study with referrals randomized in a 1:1 ratio to either PT-led vs usual rheumatologist triage. Standardized information was collected at referral receipt, triage, and clinic visit. Rheumatologist diagnosis was considered the gold standard for diagnosis of IA. RESULTS: One hundred two referrals were randomized to the PT-led triage arm and 101 to the rheumatologist arm. In the PT-led arm, 65% of referrals triaged as urgent were confirmed to have IA vs 60% in the rheumatologist arm (P = 0.57), suggesting similar accuracy in identifying IA. More referrals were declined in the PT-led triage arm (24 vs 8, P = 0.002), resulting in fewer referrals triaged as semiurgent (6 vs 23, P = 0.003). One case of IA (rheumatologist arm) was incorrectly triaged, resulting in significant delay in time to first assessment. CONCLUSION: PT-led triage was feasible, appeared as reliable as rheumatologist triage of referrals for joint pain, and led to significantly fewer patients requiring in-clinic visits. This has implications for waitlist management and optimal rheumatology resource utilization.

The obstetrical emergency department: need, rationale, and guide to implementation.

The past 2 decades have seen dramatic growth in the number of obstetrics and gynecology hospitalists, and many hospitals have created obstetrical-specific emergency departments. The goals of an obstetrics emergency department are to provide safe and efficient care to the pregnant dyad and postpartum patient, while generating revenue for emergency services provided. In an obstetrics emergency department, all patients must be evaluated in person by a licensed practitioner, whereas historically they may have been evaluated in person by nursing staff or a trainee. We make the argument that formation of an obstetrics emergency department has the potential to improve the safety and quality of patient care. In addition, the financial benefits to institutions are substantial and can subsidize the cost of maintaining obstetrician presence all the time in the hospital. There are various regulatory requirements to become certified, accredited, and licensed as an emergency department. In addition, there are many operational and systems issues that institutions should consider before implementation. We provide a guide for healthcare systems considering creating an obstetrics emergency department.

Use of artificial intelligence in triaging of chest radiographs to reduce radiologists' workload.

OBJECTIVES: To evaluate whether deep learning-based detection algorithms (DLD)-based triaging can reduce outpatient chest radiograph interpretation workload while maintaining noninferior sensitivity. METHODS: This retrospective study included patients who underwent initial chest radiography at the outpatient clinic between June 1 and June 30, 2017. Readers interpreted radiographs with/without a commercially available DLD that detects nine radiologic findings (atelectasis, calcification, cardiomegaly, consolidation, fibrosis, nodules, pneumothorax, pleural effusion, and pneumoperitoneum). The reading order was determined in a randomized, crossover manner. The radiographs were classified into negative and positive examinations. In a 50% worklist reduction scenario, radiographs were sorted in descending order of probability scores: the lower half was regarded as negative exams, while the remaining were read with DLD by radiologists. The primary analysis evaluated noninferiority in sensitivity between radiologists reading all radiographs and simulating a 50% worklist reduction, with the inferiority margin of 5%. The specificities were compared using McNemar's test. RESULTS: The study included 1964 patients (median age [interquartile range], 55 years [40-67 years]). The sensitivity was 82.6% (195 of 236; 95% CI: 77.5%, 87.3%) when readers interpreted all chest radiographs without DLD and 83.5% (197 of 236; 95% CI: 78.8%, 88.1%) in the 50% worklist reduction scenario. The difference in sensitivity was 0.8% (95% CI: - 3.8%, 5.5%), establishing noninferiority of 50% worklist reduction (p = 0.01). The specificity increased from 86.7% (1498 of 1728) to 90.4% (1562 of 1728) (p < 0.001) with DLD-based triage. CONCLUSION: Deep learning-based triaging may substantially reduce workload without lowering sensitivity while improving specificity. CLINICAL RELEVANCE STATEMENT: Substantial workload reduction without lowering sensitivity was feasible using deep learning-based triaging of outpatient chest radiograph; however, the legal responsibility for incorrect diagnoses based on AI-standalone interpretation remains an issue that should be defined before clinical implementation. KEY POINTS: • A 50% workload reduction simulation using deep learning-based detection algorithm maintained noninferior sensitivity while improving specificity. • The CT recommendation rate significantly decreased in the disease-negative patients, whereas it slightly increased in the disease-positive group without statistical significance. • In the exploratory analysis, the noninferiority of sensitivity was maintained until 70% of the workload was reduced; the difference in sensitivity was 0%.

Implementation of an Education Module to Improve Emergency Medical Service Provider Accuracy and Confidence in Trauma Triage.

INTRODUCTION: Prehospital triage is critical to ensure timely activation of trauma center resources. Undertriage (UT) results in higher morbidity and mortality. To minimize this risk, the American College of Surgeons Committee on Trauma recommends trauma centers aim for a UT rate below 5%. Our center has a 3-tiered triage system aimed at optimizing resource allocation. We hypothesized that a trauma triage criteria educational module (TCEM) would 1) improve emergency medical services (EMSs) provider confidence and accuracy in triage and 2) improve our UT rate. METHODS: From July to November 2022, the TCEM was presented to 8 local EMS agencies who transport patients to our Level 1 trauma center. Preclass and postclass surveys assessed EMS provider triage confidence using a Likert scale 1-5. Validated trauma scenario questions were used to measure triage accuracy. The UT rate was compared between January-May 2022 (pre-TCEM) to January-May 2023 (post-TCEM) using trauma registry data. Data were analyzed using paired Wilcoxon signed rank and t-tests. RESULTS: 72 prehospital providers participated in TCEM, most were Caucasian (65.3%), non-Hispanic (84.7%), males (77.8%) with emergency medical technician-basic certifications (90.3%). There was a significant increase in triage confidence from pre-TCEM to post-TCEM (2 versus 5; P < 0.001) and accuracy (23.2% versus 88.9%; P < 0.001). Regression analysis did not indicate a significant difference in confidence or accuracy based on years of experience, paid or volunteer provider status, or transport volume per week. The UT rate remained stable after TCEM initiation (2.3% versus 2.0%; P < 0.669). CONCLUSIONS: This novel community based educational program demonstrated improvements in EMS provider confidence and accuracy regarding prehospital trauma triage. Outreach programs like these are often well received by EMS, and implementation is highly reproducible at other centers.

Defining Mild Traumatic Brain Injury: From Research Definition to Clinical Practice.

INTRODUCTION: Approximately 75% of traumatic brain injuries (TBIs) qualify as mild. However, there exists no universally agreed upon definition for mild TBI (mTBI). Consequently, treatment guidelines for this group are lacking. The Center for Disease Control (CDC), American College of Rehabilitation Medicine (ACRM), Veterans Affairs and Department of Defense (VA/DoD), Eastern Association for the Surgery of Trauma (EAST), and the University of Arizona's Brain Injury Guidelines (BIG) have each published differing definitions for mTBI. The aim of this study was to compare the ability of these definitions to correctly classify mTBI patients in the acute care setting. METHODS: A single-center, retrospective cohort study comparing the performance of the varying definitions of mTBI was performed at a Level I trauma center from August 2015 to December 2018. Definitions were compared by sensitivity, specificity, positive predictive value, negative predictive value, as well as overtriage and undertriage rates. Finally, a cost-savings analysis was performed. RESULTS: We identified 596 patients suffering blunt TBI with Glasgow Coma Scale 13-15. The CDC/ACRM definitions demonstrated 100% sensitivity but 0% specificity along with the highest rate of undertriage and TBI-related mortality. BIG 1 included nearly twice as many patients than EAST and VA/DoD while achieving a superior positive predictive value and undertriage rate. CONCLUSIONS: The BIG definition identified a larger number of patients compared to the VA/DoD and EAST definitions while having an acceptable and more accurate overtriage and undertriage rate compared to the CDC and ACRM. By eliminating undertriage and minimizing overtriage rates, the BIG maintains patient safety while enhancing the efficiency of healthcare systems. Using the BIG definition, a cost savings of $395,288.95-$401,263.95 per year could be obtained at our level 1 trauma facility without additional mortality.

Inside the Black Box of Deliberate Practice: How do Coaches Coach to Improve Trauma Triage.

INTRODUCTION: Deliberate practice, goal-oriented training with feedback from a coach, is a common tool for improving physicians' performance. However, little is known about how coaches foster performance improvement. METHODS: A content analysis of video-recorded training sessions was performed to analyze the coaches' behaviors during a pilot randomized trial of deliberate practice in trauma triage. The intervention consisted of three video-conference sessions during which trial physicians, under the supervision of a coach, played a customized video game designed to review trauma triage principles. A multidisciplinary team specified tasks (e.g., create collaborative learning environment) that coaches should complete, and suggested 19 coaching strategies (e.g., encourage culture of error) to allow execution of these tasks. Two independent raters translated those strategies into a coding framework and applied it deductively to the recorded sessions. The frequencies of the coaching strategies were summarized, and tested for variation across coaches and time. RESULTS: Thirty physicians received the intervention across two 1-mo blocks. Most (28 [93%]) completed three sessions, each covering two (interquartile range 1-2) triage principles. Coaches used coaching strategies 18 (interquartile range 14.5-22) times per triage principle, using some often (2-3 times/principle) and others infrequently (<1 time/principle). The three coaches used similar numbers (20 versus 16 versus 18.5, P = 0.07) and types of strategies. However, use increased over time (16.8 [Block 1] versus 20 [Block 2] P = 0.018). CONCLUSIONS: Coaches used 19 coaching strategies to deliver this deliberate practice intervention, with behavior that evolved over time. Future trials should isolate the most potent strategies and should assess the best method of standardizing coaching.

Assessing Fall Mortality by Field-Relevant Categories at an Urban Level I Trauma Center.

INTRODUCTION: Little research has focused on assessing the mortality for fall height based on field-relevant categories like falls from greater than standing (FFGS), falls from standing (FFS), and falls from less than standing. METHODS: This retrospective observational study included patients evaluated for a fall incident at an urban Level I Trauma Center or included in Medical Examiner's log from January 1, 2015, to June 31, 2017. Descriptive statistics characterized the sample based on demographic variables such as age, race, sex, and insurance type, as well as injury characteristics like relative fall height, Glasgow Coma Scale (GCS), Injury Severity Score (ISS), traumatic brain injury, intensive care unit length of stay, and mortality. Bivariate analysis included Chi-square tests for categorical variables and Student t-tests for continuous variables. Subsequent multiple logistic regression modeled significant variables from bivariate analyses, including age, race, insurance status, fall height, ISS, and GCS. RESULTS: When adjusting for sex, age, race, insurance, ISS, and GCS, adults ≥65 who FFS had 1.93 times the odds of mortality than those who FFGS. However, those <65 who FFGS had 3.12 times the odds of mortality than those who FFS. Additionally, commercial insurance was not protective across age groups. CONCLUSIONS: The mortality for FFS may be higher than FFGS under certain circumstances, particularly among those ≥65 y. Therefore, prehospital collection should include accurate assessment of fall height and surface (i.e., water, concrete). Lastly, commercial insurance was likely a proxy for industrial falls, accounting for the surprising lack of protection against mortality.

Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen.

BACKGROUND. Artificial intelligence (AI) algorithms improved detection of incidental pulmonary embolism (IPE) on contrast-enhanced CT (CECT) examinations in retrospective studies; however, prospective validation studies are lacking. OBJECTIVE. The purpose of this study was to assess the effect on radiologists' real-world diagnostic performance and report turnaround times of a radiology department's clinical implementation of an AI triage system for detecting IPE on CECT examinations of the chest or abdomen. METHODS. This prospective single-center study included consecutive adult patients who underwent CECT of the chest or abdomen for reasons other than pulmonary embolism (PE) detection from May 12, 2021, to June 30, 2021 (phase 1), or from September 30, 2021, to December 4, 2021 (phase 2). Before phase 1, the radiology department installed a commercially available AI triage algorithm for IPE detection that automatically processed CT examinations and notified radiologists of positive results through an interactive floating widget. In phase 1, the widget was inactive, and radiologists interpreted examinations without AI assistance. In phase 2, the widget was activated, and radiologists interpreted examinations with AI assistance. A review process involving a panel of radiologists was implemented to establish the reference standard for the presence of IPE. Diagnostic performance and report turnaround times were compared using the Pearson chi-square test and Wilcoxon rank sum test, respectively. RESULTS. Phase 1 included 1467 examinations in 1434 patients (mean age, 53.8 ± 18.5 [SD] years; 753 men, 681 women); phase 2 included 3182 examinations in 2886 patients (mean age, 55.4 ± 18.2 years; 1520 men, 1366 women). The frequency of IPE was 1.4% (20/1467) in phase 1 and 1.6% (52/3182) in phase 2. Radiologists without AI, in comparison to radiologists with AI, showed significantly lower sensitivity (80.0% vs 96.2%, respectively; p = .03), without a significant difference in specificity (99.9% vs 99.9%, p = .58), for the detection of IPE. The mean report turnaround time for IPE-positive examinations was not significantly different between radiologists without AI and radiologists with AI (78.3 vs 74.6 minutes, p = .26). CONCLUSION. An AI triage system improved radiologists' sensitivity for IPE detection on CECT examinations of the chest or abdomen without significant change in report turnaround times. CLINICAL IMPACT. This prospective real-world study supports the use of AI assistance for maximizing IPE detection.

From Psoriasis to Psoriatic Arthritis: Ultrasound Insights Connecting Psoriasis with Subclinical Musculoskeletal Inflammation and the Path to Psoriatic Arthritis.

PURPOSE OF REVIEW: This review summarizes the literature about the transition from psoriasis to psoriatic arthritis (PsA), focusing on musculoskeletal ultrasound (MSUS) for detecting subclinical inflammation and its role in diagnosis and triage of high-risk patients. RECENT FINDINGS: MSUS effectively detects subclinical musculoskeletal inflammation in patients with psoriasis; however, some of these lesions are non-specific and can be found in healthy individuals. Preliminary evidence suggest that subclinical sonographic findings may predict progression to PsA in psoriasis patients. MSUS can also improve referrals' accuracy and its integration in the PsA classification criteria may improve early PsA detection. MSUS is a valuable tool for detecting subclinical abnormalities in psoriasis patients, which indicate an increased likelihood of progressing to PsA. Its integration into referral protocols and clinical use could improve PsA diagnosis. We propose an MSUS-inclusive algorithm for PsA referrals and triage, which requires validation. The potential of early intervention in reducing PsA progression in psoriasis patients with subclinical inflammation remains to be established.

The prehospital NEW score to assess septic shock in-hospital, 30-day and 90-day mortality.

BACKGROUND: The early identification of sepsis presenting a high risk of deterioration is a daily challenge to optimise patient pathway. This is all the most crucial in the prehospital setting to optimize triage and admission into the appropriate unit: emergency department (ED) or intensive care unit (ICU). We report the association between the prehospital National Early Warning Score 2 (NEWS-2) and in-hospital, 30 and 90-day mortality of SS patients cared for in the pre-hospital setting by a mobile ICU (MICU). METHODS: Septic shock (SS) patients cared for by a MICU between 2016, April 6th and 2021 December 31st were included in this retrospective cohort study. The NEWS-2 is based on 6 physiological variables (blood pressure, heart rate, respiratory rate, temperature, oxygen saturation prior oxygen supplementation, and level of consciousness) and ranges from 0 to 20. The Inverse Probability Treatment Weighting (IPTW) propensity method was applied to assess the association with in-hospital, 30 and 90-day mortality. A NEWS-2 ≥ 7 threshold was chosen for increased clinical deterioration risk definition and usefulness in clinical practice based on previous reports. RESULTS: Data from 530 SS patients requiring MICU intervention in the pre-hospital setting were analysed. The mean age was 69 ± 15 years and presumed origin of sepsis was pulmonary (43%), digestive (25%) or urinary (17%) infection. In-hospital mortality rate was 33%, 30 and 90-day mortality were respectively 31% and 35%. A prehospital NEWS-2 ≥ 7 is associated with an increase in-hospital, 30 and 90-day mortality with respective RRa = 2.34 [1.39-3.95], 2.08 [1.33-3.25] and 2.22 [1.38-3.59]. Calibration statistic values for in-hospital mortality, 30-day and 90-day mortality were 0.54; 0.55 and 0.53 respectively. CONCLUSION: A prehospital NEWS-2 ≥ 7 is associated with an increase in in-hospital, 30 and 90-day mortality of septic shock patients cared for by a MICU in the prehospital setting. Prospective studies are needed to confirm the usefulness of NEWS-2 to improve the prehospital triage and orientation to the adequate facility of sepsis.

PAX1/SOX1 DNA Methylation Versus Cytology and HPV16/18 Genotyping for the Triage of High-Risk HPV-Positive Women in Cervical Cancer Screening: Retrospective Analysis of Archival Samples.

OBJECTIVE: To compare the performance of cytology, HPV16/18 genotyping and PAX1/SOX1 methylation for the triage of high-risk HPV-positive cervical samples. DESIGN: Retrospective analyses of archival samples collected from a large-scale prospective randomised controlled trial. SETTING/SAMPLE: HPV-positive women recruited from the general cervical screening population. METHODS: 403 HPV-positive samples including 113 normal, 173 low-grade cervical intraepithelial neoplasia (LG-CIN), 114 HG-CIN and three cervical cancers. All samples were assessed by liquid-based cytology, HPV genotyping and PAX1/SOX1 methylation. MAIN OUTCOME MEASURES: AUC (area under the curve), sensitivity and specificity for cytology, HPV16/18 genotyping and PAX1/SOX1 methylation for high-grade (HG) premalignant cervical lesions. RESULTS: PAX1 was more sensitive than cytology and HPV16/18 genotyping in detecting a HG lesion (CIN2+). The sensitivity for PAX1, SOX1, cytology and HPV16/18 were 73.5% (95% CI: 65.5-81.5), 41.9% (95% CI: 32.9-50.8), 48.7% (95% CI: 39.7-57.8) and 36.8% (95% CI: 28.0-45.5), respectively, and their respective specificities were 70.3% (95% CI: 65.0-75.6), 83.6% (95% CI: 79.3-87.9), 77.6% (95% CI: 72.8-82.5) and 67.1% (95% CI: 61.7-72.6), respectively. Overall, PAX1 gave the best AUC at 0.72. Adding SOX1 to PAX1 did not improve the AUC (0.68). Three hundred and twenty-two women who did not have a HG lesion at baseline were followed up for two rounds of screening. Fewer women developed a HG lesion with a normal baseline PAX1 compared to women with a normal baseline cytology or negative HPV16/18 (8.4% vs. 14.5% and 17.5%, respectively). CONCLUSION: PAX1 triage for referral to colposcopy in HPV-positive women may be superior to cytology and HPV16/18 genotyping.

Outcome of patients with solid malignancies considered for intensive care unit admission: a single-center prospective cohort study.

PURPOSE: To identify the predictors and outcomes of ICU triage decisions in patients with solid malignancies (SM) and to investigate the usefulness of the National Early Warning Score (NEWS) and quick Sequential Organ Failure Assessment (qSOFA) score at triage. METHODS: All patients with SM for whom ICU admission was requested between July 2019 and December 2021 in a French university-affiliated hospital were included prospectively. RESULTS: Of the 6262 patients considered for ICU admission, 410 (6.5%) had SM (age, 66 [58-73] years; metastases, 60.1%; and performance status 0-2, 81%). Of these 410 patients, 176 (42.9%) were admitted to the ICU, including 141 (80.1%) subsequently discharged alive. Breast cancer, hemoptysis, and pneumothorax were associated with ICU admission; whereas older age, performance status 3-4, metastatic disease, and request at night were associated with denial of ICU admission. The NEWS, and the qSOFA score in patients with suspected infection, determined at triage performed poorly for predicting hospital mortality (area under the receiver operating characteristics curve, 0.52 and 0.62, respectively). Performance status 3-4 was independently associated with higher 6-month mortality and first-line anticancer treatment with lower 6-month mortality. Hospital mortality was 33.3% in patients admitted to the ICU after refusal of the first request. CONCLUSION: Patients with SM were frequently denied ICU admission despite excellent in-ICU survival. Poor performance status was associated with ICU admission denial and higher 6-month mortality, but none of the other reasons for denying ICU admission predicted 6-month mortality. Physiological scores had limited usefulness in this setting.