The potential clinical value of plasma biomarkers in Alzheimer's disease.

INTRODUCTION: Many people with cognitive complaints or impairment never receive an accurate diagnosis of the underlying condition, potentially impacting their access to appropriate treatment. To address this unmet need, plasma biomarker tests are being developed for use in Alzheimer's disease (AD). Plasma biomarker tests span various stages of development, including in vitro diagnostic devices (or tests) (IVDs), laboratory-developed tests (LDTs) and research use only devices (or tests) (RUOs). Understanding the differences between each test type is important for appropriate implementation into the AD diagnostic pathway and care continuum. METHODS: Authors reviewed scientific literature (PubMed, meeting abstracts and presentations, company press releases and websites) on AD plasma biomarkers. RESULTS: This article defines IVDs, LDTs, and RUOs, discusses potential clinical applications and highlights the steps necessary for their clinical implementation. DISCUSSION: Plasma biomarkers could revolutionize many areas of the AD diagnostic pathway and care continuum, but further research is needed. HIGHLIGHTS: There is a need for a minimally invasive Alzheimer's disease (AD) diagnostic tool. AD plasma biomarker tests exist at various stages of commercial development. Understanding the development stage of a test is important for its appropriate use. Plasma biomarker tests could function as a triage tool to streamline AD diagnosis. Further steps remain before AD plasma biomarkers can be used routinely.

Safety of a Novel Obstructive Sleep Apnea Triage Tool for Postoperative Orthopedic Surgery Patients.

PURPOSE: The purpose of this quality improvement project is to provide a tool for effective and safe triage of postoperative patients in the postanesthesia care unit with known or suspected obstructive sleep apnea (OSA) at an academic orthopedic hospital in New York City. DESIGN: The structure of this project was observational after implementation of a novel OSA triage tool. METHODS: Results were reported from a single center experience in a hospital where there was no existing standard assessment tool consistently used to triage patients with either known or suspected OSA in the postoperative period. Adult patients who underwent orthopedic surgery between October 2018 and February 2020 and who had a known or suspected history of OSA were included. After admission to the postanesthesia care unit (PACU) and upon meeting their modified Aldrete criteria or after 2 hours had elapsed, the PACU primary provider used the OSA triage tool to assess whether the patient had a high or low risk of respiratory deterioration after discharge from the PACU related to OSA. Patients without high-risk criteria were discharged from the PACU to a medical/surgical unit. For patients with high-risk criteria, the PACU provider requested critical care consultation to determine each patient's appropriate hospital disposition upon PACU discharge. FINDINGS: Over the course of the study period, 216 patients were evaluated using the OSA triage tool: 53.2% of the cohort was male, median BMI was 36.3 kg/m2, and 80.1% had a prior diagnosis of obstructive sleep apnea. Patients underwent a variety of orthopedic surgeries with 23.6% having undergone hip surgery, 51.4% knee surgery, 13.4% spine surgery, 9.7% shoulder surgery, and 1.9% foot or ankle surgery. Notably, with the use of this tool, only 12.5% of patients met criteria for critical care consult and 91.7% were admitted to the floor from the PACU. Rapid response for respiratory complications were not observed in any of the patients. There were only three patients who required critical care evaluation after PACU discharge. An anonymous survey completed by PACU nurse practitioners and anesthesiologists revealed a 96.8% self-reported satisfaction with OSA triage tool. CONCLUSION: We demonstrated that use of a OSA triage tool in the single-center orthopedic PACU at NYULH is potentially a safe and effective method of triaging patients with known or suspected OSA to acute care beds versus higher levels of care.

Lung Ultrasonography for Risk Stratification in Patients with Coronavirus Disease 2019 (COVID-19): A Prospective Observational Cohort Study.

BACKGROUND: Lung ultrasonography (LUS) is a promising pragmatic risk-stratification tool in coronavirus disease 2019 (COVID-19). This study describes and compares LUS characteristics between patients with different clinical outcomes. METHODS: Prospective observational study of polymerase chain reaction-confirmed adults with COVID-19 with symptoms of lower respiratory tract infection in the emergency department (ED) of Lausanne University Hospital. A trained physician recorded LUS images using a standardized protocol. Two experts reviewed images blinded to patient outcome. We describe and compare early LUS findings (≤24 hours of ED presentation) between patient groups based on their 7-day outcome (1) outpatients, (2) hospitalized, and (3) intubated/dead. Normalized LUS score was used to discriminate between groups. RESULTS: Between 6 March and 3 April 2020, we included 80 patients (17 outpatients, 42 hospitalized, and 21 intubated/dead). Seventy-three patients (91%) had abnormal LUS (70% outpatients, 95% hospitalized, and 100% intubated/dead; P = .003). The proportion of involved zones was lower in outpatients compared with other groups (median [IQR], 30% [0-40%], 44% [31-70%], 70% [50-88%]; P < .001). Predominant abnormal patterns were bilateral and there was multifocal spread thickening of the pleura with pleural line irregularities (70%), confluent B lines (60%), and pathologic B lines (50%). Posterior inferior zones were more often affected. Median normalized LUS score had a good level of discrimination between outpatients and others with area under the ROC of .80 (95% CI, .68-.92). CONCLUSIONS: Systematic LUS has potential as a reliable, cheap, and easy-to-use triage tool for the early risk stratification in patients with COVID-19 presenting to EDs.

Estimation of the Endometriosis Fertility Index prior to operative laparoscopy.

STUDY QUESTION: Can the Endometriosis Fertility Index (EFI) be estimated accurately before surgery? SUMMARY ANSWER: The EFI can be estimated accurately based on mere clinical/ultrasound information, with some improvement after adding data from diagnostic laparoscopy. WHAT IS KNOWN ALREADY: The EFI is a validated clinical instrument predicting the probability of pregnancy after endometriosis surgery without the use of ART. Being an end-of-surgery-score, it implies the decision for operative laparoscopy to be made in advance-hence, its role in the pre-surgical decision-making process remains to be established. STUDY DESIGN, SIZE, DURATION: Single-cohort prospective observational study in 82 patients undergoing complete endometriosis excision (between June and December 2016). Two methods were used to estimate the final EFI: type A based on non-surgical clinical/ultrasound findings only, and type B based on the combination of non-surgical clinical/ultrasound findings and diagnostic laparoscopy data. To calculate EFI type A, an algorithm was created to translate non-surgical clinical/imaging information into rASRM (revised American Society of Reproductive Medicine)-and EFI points. EFI type A and type B estimates were assessed for their clinical and numerical agreement with the final EFI score. Agreement was defined as clinical if EFI scores were within the same range (0-4, 5-6, 7-10), and numerical if their difference was ≤1. PARTICIPANTS/MATERIALS, SETTING, METHODS: All 82 patients underwent complete laparoscopic CO2-laser excision of any rASRM stage of endometriosis in the Leuven University Fertility Centre (LUFC) of University Hospitals Leuven, a tertiary referral centre for both endometriosis and infertility. An anonymized clinical research file was created. For each patient, three different data sets were created, in order to allow the estimation of the (surgical part) EFI and of the rASRM scores, defined as follows: 'Estimated type A' contained only non-surgical clinical/imaging data, 'Estimated type B' included type A information plus the information of the diagnostic laparoscopy and 'Final EFI' included information of type A, type B and all intra-operative information required to calculate the final EFI. To calculate EFI type A without surgical information, a set of rules was used to translate pre-surgical clinical/imaging information into (rASRM and EFI points). Scoring was done by one person (C.T.), with a time interval of 4 weeks between sessions for each EFI type. Next to the EFI, also rASRM score and stage were calculated. MAIN RESULTS AND THE ROLE OF CHANCE: Agreement rate between estimated EFI type A and final EFI was high for both the clinical (0.915; 95% CI 0.832-0.965) and numerical definition (0.878; 95% CI 0.787-0.940). Agreement rates between estimated EFI type B and final EFI were even higher (clinical (0.988; 95% CI 0.934-1.000), numerical (0.963; 95% CI 0.897-0.992)). LIMITATIONS, REASONS FOR CAUTION: Type A estimation is dependent on high-level gynaecological ultrasound expertise, which may not be available in all clinics. A small number of patients had no prior clinical, ultrasound (hard markers) or surgical confirmation of the diagnosis of endometriosis. When applying the estimated EFI type A in clinical practice, a priori assumptions of the presence or absence of endometriosis will need to be made in adjunct to the estimation of the estimated type A EFI when counselling patients on the potential benefit of an (at least diagnostic) laparoscopy. The level of agreement for type A or B should also be taken into account when counselling patients on the type of efforts undertaken to attempt to diagnose or rule out endometriosis. WIDER IMPLICATIONS OF THE FINDINGS: As this study reports, the EFI can be estimated accurately based on clinical/ultrasound data only without the need for any surgical data. This means that the EFI could be used as an instrument to guide joint physician-patient decision-making between surgery, ART or other fertility management options for the individualized treatment of women with endometriosis-related infertility. STUDY FUNDING/COMPETING INTEREST(S): During this study period, C.T. was supported by FWO (Research Fund Flanders, Grant number 1700816N) and UZ Leuven KOF (University Hospitals Leuven, Klinisch Onderzoeksfonds).The LUFC received unrestricted research grants from Ferring Pharmaceuticals and Merck SA. Gedeon Richter and MSD sponsored travel to and attendance at scientific meetings. C.M. received consultancy fees from Lumenis (paid to KU Leuven, no private revenue). T.D. has been vice-president and head of global medical affairs infertility for the multinational pharmaceutical company Merck (Darmstadt, Germany) since 1 October 2015. He continues his academic appointment on a part-time basis as Professor of Reproductive Medicine at the University of Leuven (KU Leuven). T.D. has been vice-president and head of global medical affairs infertility for the multinational pharmaceutical company Merck (Darmstadt, Germany) since October 2015. He is also a Guest Professor in Reproductive Medicine and Biology at the Department of Development and Regeneration, Group Biomedical Sciences, KU Leuven (University of Leuven), Belgium, and an Adjunct Professor at the Department of Obstetrics and Gynecology in the University of Yale, New Haven, USA. This work was initiated before he joined Merck KGaA in October 2015, and completed during the subsequent years. TRIAL REGISTRATION NUMBER: study registration number at UZ Leuven Clinical Trial Centre: S59221.

Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study.

BACKGROUND: Unlike well-established diseases that base clinical care on randomized trials, past experiences, and training, prognosis in COVID19 relies on a weaker foundation. Knowledge from other respiratory failure diseases may inform clinical decisions in this novel disease. The objective was to predict 48-hour invasive mechanical ventilation (IMV) within 48 h in patients hospitalized with COVID-19 using COVID-like diseases (CLD). METHODS: This retrospective multicenter study trained machine learning (ML) models on patients hospitalized with CLD to predict IMV within 48 h in COVID-19 patients. CLD patients were identified using diagnosis codes for bacterial pneumonia, viral pneumonia, influenza, unspecified pneumonia and acute respiratory distress syndrome (ARDS), 2008-2019. A total of 16 cohorts were constructed, including any combinations of the four diseases plus an exploratory ARDS cohort, to determine the most appropriate cohort to use. Candidate predictors included demographic and clinical parameters that were previously associated with poor COVID-19 outcomes. Model development included the implementation of logistic regression and three ensemble tree-based algorithms: decision tree, AdaBoost, and XGBoost. Models were validated in hospitalized COVID-19 patients at two healthcare systems, March 2020-July 2020. ML models were trained on CLD patients at Stanford Hospital Alliance (SHA). Models were validated on hospitalized COVID-19 patients at both SHA and Intermountain Healthcare. RESULTS: CLD training data were obtained from SHA (n = 14,030), and validation data included 444 adult COVID-19 hospitalized patients from SHA (n = 185) and Intermountain (n = 259). XGBoost was the top-performing ML model, and among the 16 CLD training cohorts, the best model achieved an area under curve (AUC) of 0.883 in the validation set. In COVID-19 patients, the prediction models exhibited moderate discrimination performance, with the best models achieving an AUC of 0.77 at SHA and 0.65 at Intermountain. The model trained on all pneumonia and influenza cohorts had the best overall performance (SHA: positive predictive value (PPV) 0.29, negative predictive value (NPV) 0.97, positive likelihood ratio (PLR) 10.7; Intermountain: PPV, 0.23, NPV 0.97, PLR 10.3). We identified important factors associated with IMV that are not traditionally considered for respiratory diseases. CONCLUSIONS: The performance of prediction models derived from CLD for 48-hour IMV in patients hospitalized with COVID-19 demonstrate high specificity and can be used as a triage tool at point of care. Novel predictors of IMV identified in COVID-19 are often overlooked in clinical practice. Lessons learned from our approach may assist other research institutes seeking to build artificial intelligence technologies for novel or rare diseases with limited data for training and validation.

Smart triage: triage and management of sepsis in children using the point-of-care Pediatric Rapid Sepsis Trigger (PRST) tool.

BACKGROUND: Sepsis is the leading cause of death and disability in children. Every hour of delay in treatment is associated with an escalating risk of morbidity and mortality. The burden of sepsis is greatest in low- and middle-income countries where timely treatment may not occur due to delays in diagnosis and prioritization of critically ill children. To circumvent these challenges, we propose the development and clinical evaluation of a digital triage tool that will identify high risk children and reduce time to treatment. We will also implement and clinically validate a Radio-Frequency Identification system to automate tracking of patients. The mobile platform (mobile device and dashboard) and automated patient tracking system will create a low cost, highly scalable solution for critically ill children, including those with sepsis. METHODS: This is pre-post intervention study consisting of three phases. Phase I will be a baseline period where data is collected on key predictors and outcomes before implementation of the digital triage tool. In Phase I, there will be no changes to healthcare delivery processes in place at the study hospitals. Phase II will involve model derivation, technology development, and usability testing. Phase III will be the intervention period where data is collected on key predictors and outcomes after implementation of the digital triage tool. The primary outcome, time to treatment initiation, will be compared to assess effectiveness of the digital health intervention. DISCUSSION: Smart technology has the potential to overcome the barrier of limited clinical expertise in the identification of the child at risk. This mobile health platform, with sensors and data-driven applications, will provide real-time individualized risk prediction to rapidly triage patients and facilitate timely access to life-saving treatments for children in low- and middle-income countries, where specialists are not regularly available and deaths from sepsis are common. TRIAL REGISTRATION: Clinical Trials.gov Identifier: NCT04304235, Registered 11 March 2020.

Evaluating the use of patient pathway scores in medical assessments.

Aim This article describes the modification and testing of a triage tool, the patient pathway assessment score (PPAS), which could be used by all grades of nursing staff to triage patients in a medical assessment area (MAA). The aim was to increase patient satisfaction and reduce waiting times. Method Staff scored all patients using PPAS, but used the existing triage process to assign patients to one of the MAA's two pathways. Two researchers reviewed patients' notes retrospectively to determine which pathway they should have followed and compared this to the outcome that would have occurred if the PPAS score had been used. Results Full, rather than theoretical, use of the PPAS tool could have reduced patient waiting times, as 55 (24%) out of 231 patients would have been allocated to the correct pathway. Conclusion The tool could improve patients' journeys through the MAA by ensuring they are allocated to the correct pathway. It is now implemented in practice.

An investigation of the validity of the Work Assessment Triage Tool clinical decision support tool for selecting optimal rehabilitation interventions for workers with musculoskeletal injuries.

OBJECTIVE: To evaluate the concurrent validity of a clinical decision support tool (Work Assessment Triage Tool (WATT)) developed to select rehabilitation treatments for injured workers with musculoskeletal conditions. DESIGN: Methodological study with cross-sectional and prospective components. SETTING: Data were obtained from the Workers' Compensation Board of Alberta rehabilitation facility in Edmonton, Canada. SUBJECTS: A total of 432 workers' compensation claimants evaluated between November 2011 and June 2012. MAIN MEASURES: Percentage agreement between the Work Assessment Triage Tool and clinician recommendations was used to determine concurrent validity. In claimants returning to work, frequencies of matching were calculated and compared between clinician and Work Assessment Triage Tool recommendations and the actual programs undertaken by claimants. The frequency of each intervention recommended by clinicians, Work Assessment Triage Tool, and case managers were also calculated and compared. RESULTS: Percentage agreement between clinician and Work Assessment Triage Tool recommendations was poor (19%) to moderate (46%) and Kappa = 0.37 (95% CI -0.02, 0.76). The Work Assessment Triage Tool did not improve upon clinician recommendations as only 14 out of 31 claimants returning to work had programs that contradicted clinician recommendations, but were consistent with Work Assessment Triage Tool recommendations. Clinicians and case managers were inclined to recommend functional restoration, physical therapy, or no rehabilitation while the Work Assessment Triage Tool recommended additional evidence-based interventions, such as workplace-based interventions. CONCLUSIONS: Our findings do not provide evidence of concurrent validity for the Work Assessment Triage Tool compared with clinician recommendations. Based on these results, we cannot recommend further implementation of the Work Assessment Triage Tool. However, the Work Assessment Triage Tool appeared more likely than clinicians to recommend interventions supported by evidence; thus warranting further research.

Triage for action: Systematic assessment and dissemination of construction health and safety research.

BACKGROUND: Research translation too often relies on passive methods that fail to reach those who can impact the workplace. The need for better research to practice (r2p) approaches is especially pressing in construction, where a disproportionate number of workers suffer serious injury illness. METHODS: A triage process was designed and used to systematically review completed research, assess r2p readiness, establish priorities, and launch dissemination follow-up efforts. A mixed quantitative and qualitative approach was used. RESULTS: The process proved effective in ensuring that significant findings and evidence-based solutions are disseminated actively. Key factors emerged in the selection of follow-up priorities, including availability of partners able to reach end users, windows of opportunity, and cross-cutting approaches that can benefit multiple dissemination efforts. CONCLUSIONS: Use of a systematic triage process may have an important role to play in building r2p capacity in construction safety and health.

Are triage tools effective for detecting cervical spine injury in paediatric trauma patients? - A Cochrane Review summary with commentary.

BACKGROUND: Pediatric cervical spine injuries (CSIs) from blunt trauma carry a high risk of neurological damage. Accurate diagnosis is vital for preventing harm and aiding recovery, yet the diagnostic accuracy of clinical decision rules (CDRs) remains unclear. OBJECTIVE: To assess the effectiveness of triage tools for detecting CSI in pediatric trauma patients. METHODS: A summary of the Cochrane Review by Tavender et al. (2024), with comments from a rehabilitation perspective. RESULTS: Five studies with 21,379 participants assessed seven CDRs. Direct comparisons showed high sensitivity but low specificity across different CDRs. Indirect comparison studies also demonstrated varying sensitivities and specificities. CONCLUSIONS: Insufficient evidence exists to determine the best tools for deciding if imaging is necessary for diagnosing potential CSI in children. Better quality studies are needed to assess the accuracy of CDRs for cervical spine clearance in this population.

Performance of the Interagency Integrated Triage Tool in a resource-constrained emergency department during the COVID-19 pandemic.

BACKGROUND: The Interagency Integrated Triage Tool (IITT) is a three-tier triage instrument recommended by the World Health Organization, but only the pilot version of the tool has been comprehensively assessed for its validity and reliability. This study sought to evaluate the performance of the IITT in a resource-constrained emergency department (ED) during the COVID-19 pandemic. METHODS: This prospective observational study was conducted at ANGAU Memorial Provincial Hospital in Lae, Papua New Guinea. The study period commenced approximately six weeks after introduction of the IITT, coinciding with a major COVID-19 wave. The primary outcome was sensitivity for the detection of time-critical illness, defined by eight pre-specified conditions. Secondary outcomes included the relationship between triage category and disposition. Inter-rater reliability was assessed using Cohen's Kappa. RESULTS: There were 759 eligible presentations during the study period. Thirty patients (4.0%) were diagnosed with one of the eight pre-specified time-critical conditions and 21 were categorised as red or yellow, equating to a sensitivity of 70.0% (95%CI 50.6-85.3). There was a clear association between triage category and disposition, with 22 of 53 red patients (41.5%), 72 of 260 yellow patients (27.7%) and 22 of 452 green patients (4.9%) admitted (p = <0.01). Negative predictive values for admission and death were 95.1% (95%CI 92.7-96.9) and 99.3% (95%CI 98.1-99.9) respectively. Among a sample of 106 patients, inter-rater reliability was excellent (κ = 0.83) and the median triage assessment time was 94 seconds [IQR 57-160]. CONCLUSION: In this single-centre study, the IITT's sensitivity for the detection of time-critical illness was comparable to previous evaluations of the tool and within the performance range reported for other triage instruments. There was a clear relationship between triage category and disposition, suggesting the tool can predict ED outcomes. Health service pressures related to COVID-19 may have influenced the findings.

Major Trauma Triage Tool Study (MATTS) expert consensus-derived injury assessment tool.

Introduction: Major trauma centre (MTC) care has been associated with improved outcomes for injured patients. English ambulance services and trauma networks currently use a range of triage tools to select patients for bypass to MTCs. A standardised national triage tool may improve triage accuracy, cost-effectiveness and the reproducibility of decision-making. Methods: We conducted an expert consensus process to derive and develop a major trauma triage tool for use in English trauma networks. A web-based Delphi survey was conducted to identify and confirm candidate triage tool predictors of major trauma. Facilitated roundtable consensus meetings were convened to confirm the proposed triage tool's purpose, target diagnostic threshold, scope, intended population and structure, as well as the individual triage tool predictors and cut points. Public and patient involvement (PPI) focus groups were held to ensure triage tool acceptability to service users. Results: The Delphi survey reached consensus on nine triage variables in two domains, from 109 candidate variables after three rounds. Following a review of the relevant evidence during the consensus meetings, iterative rounds of discussion achieved consensus on the following aspects of the triage tool: reference standard, scope, target diagnostic accuracy and intended population. A three-step tool comprising physiology, anatomical injury and clinical judgement domains, with triage variables assessed in parallel, was recommended. The triage tool was received favourably by PPI focus groups. Conclusions: This paper presents a new expert consensus derived major trauma triage tool with defined purpose, scope, intended population, structure, constituent variables, variable definitions and thresholds. Prospective evaluation is required to determine clinical and cost-effectiveness, acceptability and usability.

Digital Triage Tools for Sexually Transmitted Infection Testing Compared With General Practitioners' Advice: Vignette-Based Qualitative Study With Interviews Among General Practitioners.

BACKGROUND: Digital triage tools for sexually transmitted infection (STI) testing can potentially be used as a substitute for the triage that general practitioners (GPs) perform to lower their work pressure. The studied tool is based on medical guidelines. The same guidelines support GPs' decision-making process. However, research has shown that GPs make decisions from a holistic perspective and, therefore, do not always adhere to those guidelines. To have a high-quality digital triage tool that results in an efficient care process, it is important to learn more about GPs' decision-making process. OBJECTIVE: The first objective was to identify whether the advice of the studied digital triage tool aligned with GPs' daily medical practice. The second objective was to learn which factors influence GPs' decisions regarding referral for diagnostic testing. In addition, this study provides insights into GPs' decision-making process. METHODS: A qualitative vignette-based study using semistructured interviews was conducted. In total, 6 vignettes representing patient cases were discussed with the participants (GPs). The participants needed to think aloud whether they would advise an STI test for the patient and why. A thematic analysis was conducted on the transcripts of the interviews. The vignette patient cases were also passed through the digital triage tool, resulting in advice to test or not for an STI. A comparison was made between the advice of the tool and that of the participants. RESULTS: In total, 10 interviews were conducted. Participants (GPs) had a mean age of 48.30 (SD 11.88) years. For 3 vignettes, the advice of the digital triage tool and of all participants was the same. In those vignettes, the patients' risk factors were sufficiently clear for the participants to advise the same as the digital tool. For 3 vignettes, the advice of the digital tool differed from that of the participants. Patient-related factors that influenced the participants' decision-making process were the patient's anxiety, young age, and willingness to be tested. Participants would test at a lower threshold than the triage tool because of those factors. Sometimes, participants wanted more information than was provided in the vignette or would like to conduct a physical examination. These elements were not part of the digital triage tool. CONCLUSIONS: The advice to conduct a diagnostic STI test differed between a digital triage tool and GPs. The digital triage tool considered only medical guidelines, whereas GPs were open to discussion reasoning from a holistic perspective. The GPs' decision-making process was influenced by patients' anxiety, willingness to be tested, and age. On the basis of these results, we believe that the digital triage tool for STI testing could support GPs and even replace consultations in the future. Further research must substantiate how this can be done safely.

The implication of a translational triage tool in mass casualty incidents: part three: a multinational study, using validated patient cards.

BACKGROUND: Mass casualty incidents (MCI) pose significant challenges to existing resources, entailing multiagency collaboration. Triage is a critical component in the management of MCIs, but the lack of a universally accepted triage system can hinder collaboration and lead to preventable loss of life. This multinational study uses validated patient cards (cases) based on real MCIs to evaluate the feasibility and effectiveness of a novel Translational Triage Tool (TTT) in primary triage assessment of mass casualty victims. METHODS: Using established triage systems versus TTT, 163 participants (1575 times) triaged five patient cases. The outcomes were statistically compared. RESULTS: TTT demonstrated similar sensitivity to the Sieve primary triage method and higher sensitivity than the START primary triage system. However, the TTT algorithm had a lower specificity compared to Sieve and higher over-triage rates. Nevertheless, the TTT algorithm demonstrated several advantages due to its straightforward design, such as rapid assessment, without the need for additional instrumental interventions, enabling the engagement of non-medical personnel. CONCLUSIONS: The TTT algorithm is a promising and feasible primary triage tool for MCIs. The high number of over-triages potentially impacts resource allocation, but the absence of under-triages eliminates preventable deaths and enables the use of other personal resources. Further research involving larger participant samples, time efficiency assessments, and real-world scenarios is needed to fully assess the TTT algorithm's practicality and effectiveness in diverse multiagency and multinational contexts.

The Ready-To-Go Questionnaire predicts health outcomes during travel: a smartphone application-based analysis.

BACKGROUND: The Ready-To-Go (R2G) Questionnaire is a tool for rapid assessment of health risks for travel consultation. This study aims to assess the utility of the R2G Questionnaire in identifying high-risk travellers and predicting health events and behaviour during travel in the TOURIST2 prospective cohort. METHODS: TOURIST2 data were used to calculate the R2G medical and travel risk scores and categorize each participant based on their risk. The TOURIST2 study enrolled 1000 participants from Switzerland's largest travel clinics between 2017 and 2019. Participants completed daily smartphone application surveys before, during and after travel on health events and behaviours. We used regression models to analyse incidence of overall health events and of similar health events grouped into health domains (e.g. respiratory, gastrointestinal, accident/injury). Incidence rate ratios (IRR) are displayed with 95% confidence intervals (95% CI). RESULTS: R2G high-risk travellers experienced significantly greater incidence of health events compared to lower-risk travellers (IRR = 1.27, 95% CI: 1.22-1.33). Both the medical and travel scores showed significant positive associations with incidence of health events during travel (IRR = 1.11, 95% CI: 1.07-1.16; IRR = 1.07, 95% CI: 1.03-1.12, respectively), with significant increases in all health domains except skin disorders. Medical and travel risk scores were associated with different patterns in behaviour. Travellers with chronic health conditions accessed medical care during travel more often (IRR = 1.16, 95% CI: 1.03-1.31), had greater difficulty in carrying out planned activities (IRR = -0.04, 95% CI: -0.05, -0.02), and rated their travel experience lower (IRR = -0.04, 95% CI: -0.06, -0.02). Travellers with increased travel-related risks due to planned travel itinerary had more frequent animal contact (IRR = 1.09, 95% CI: 1.01-1.18) and accidents/injuries (IRR = 1.28, 95% CI: 1.15-1.44). CONCLUSIONS: The R2G Questionnaire is a promising risk assessment tool that offers a timesaving and reliable means to identify high-risk travellers. Incorporated into travel medicine websites, it could serve as a pre-consultation triage to help travellers self-identify their risk level, direct them to the appropriate medical provider(s), and help practitioners in giving more tailored advice.

Association between mortality risk levels and AIFELL triage scores for suspected COVID-19 patients.

BACKGROUND: It is crucial to examine and classify patients as soon as possible to save their lives when they display Coronavirus Disease of 2019 (COVID-19) symptoms. The Altered sense of smell/taste, Inflammation, Fever, Elevated Lactate dehydrogenase, and Lymphocytopenia (AIFELL) evaluation tool is quick, easy, and simple for medical professionals. OBJECTIVES: Determine the relationship between the COVID-19 patient confirmation and the AIFELL score. Examine any relationships between the AIFELL score and the degree of mortality. MATERIALS AND METHODS: A retrospective study was conducted on 970 hospitalized (18 years or older) with a COVID-19 diagnosis in 2021. Patients admitted to the intensive care unit (ICU) as critical cases and moderate cases. The Chi-square test was utilized. RESULTS: The scores of the AIFELL tool ranged from 0 to 6 points; the AIFELL score for COVID-19 symptoms with a high score (4-6) made up 41.5% of the patients. More than half of the patients (58.7%) were men; the oldest age group ranged from 40 to 50 years. A very high risk of dying due to a positive COVID-19 virus exists in more than a fifth of patients (21.5%). The ICU (37.5%) received around a third of the patients. The findings showed significant associations between levels of mortality risk and gender and age. There were significant associations between AIFELL scores and mortality risk levels. AIFELL scores, mortality risk levels, and patient admissions to the critical care unit were strongly associated. CONCLUSION: The AIFELL scores were excellent for predicting COVID-19 mortality risk levels and ICU admission.

Evaluation of a Portable Blood Gas Analyzer for Prehospital Triage in Carbon Monoxide Poisoning: Instrument Validation Study.

BACKGROUND: Carbon monoxide (CO) poisoning is an important cause of morbidity and mortality worldwide. Symptoms are mostly aspecific, making it hard to identify, and its diagnosis is usually made through blood gas analysis. However, the bulkiness of gas analyzers prevents them from being used at the scene of the incident, thereby leading to the unnecessary transport and admission of many patients. While multiple-wavelength pulse oximeters have been developed to discriminate carboxyhemoglobin (COHb) from oxyhemoglobin, their reliability is debatable, particularly in the hostile prehospital environment. OBJECTIVE: The main objective of this pilot study was to assess whether the Avoximeter 4000, a transportable blood gas analyzer, could be considered for prehospital triage. METHODS: This was a monocentric, prospective, pilot evaluation study. Blood samples were analyzed sequentially with 2 devices: the Avoximeter 4000 (experimental), which performs direct measurements on blood samples of about 50 µL by analyzing light absorption at 5 different wavelengths; and the ABL827 FLEX (control), which measures COHb levels through an optical system composed of a 128-wavelength spectrophotometer. The blood samples belonged to 2 different cohorts: the first (clinical cohort) was obtained in an emergency department and consisted of 68 samples drawn from patients admitted for reasons other than CO poisoning. These samples were used to determine whether the Avoximeter 4000 could properly exclude the diagnosis. The second (forensic) cohort was derived from the regional forensic center, which provided 12 samples from documented CO poisoning. RESULTS: The mean COHb level in the clinical cohort was 1.7% (SD 1.8%; median 1.2%, IQR 0.7%-1.9%) with the ABL827 FLEX versus 3.5% (SD 2.3%; median 3.1%, IQR 2.2%-4.1%) with the Avoximeter 4000. Therefore, the Avoximeter 4000 overestimated COHb levels by a mean difference of 1.8% (95% CI 1.5%-2.1%). The consistency of COHb readings by the Avoximeter 4000 was excellent, with an intraclass correlation coefficient of 0.97 (95% CI 0.93-0.99) when the same blood sample was analyzed repeatedly. Using prespecified cutoffs (5% in nonsmokers and 10% in smokers), 3 patients (4%) had high COHb levels according to the Avoximeter 4000, while their values were within the normal range according to the ABL827 FLEX. Therefore, the specificity of the Avoximeter 4000 in this cohort was 95.6% (95% CI 87%-98.6%), and the overtriage rate would have been 4.4% (95% CI 1.4%-13%). Regarding the forensic samples, 10 of 12 (83%) samples were positive with both devices, while the 2 remaining samples were negative with both devices. CONCLUSIONS: The limited difference in COHb level measurements between the Avoximeter 4000 and the control device, which erred on the side of safety, and the relatively low overtriage rate warrant further exploration of this device as a prehospital triage tool.

'A tool we need': Midwives' descriptions and recommendations of an ideal obstetric triage tool.

Background: The obstetric triage tool (OBTT) is used to record the clinical findings following obstetric triage (OBT). The recorded OBTT provides midwives with clinical information leading to diagnosis of existing and potential maternal and foetal problems that may lead to intrapartum complications, planning of specific midwifery care and communication among the midwifery team about the woman in labour. Aim: This study aimed to explore and describe midwives' experiences of the OBTT used during admission of women in labour in the Bojanala district. Setting: This study was conducted in the two selected facilities in Bojanala district in North West province. Methods: This study is a derivative of a major study, entitled 'Midwives' experiences of OBT by midwives in the Bojanala district'. A qualitative, explorative and descriptive research design was followed. Nine purposefully sampled midwives with over 5 years of clinical midwifery experience, employed in the Bojanala district, attended a semistructured interview. Data obtained were analysed using Colaizzi's descriptive method of data analysis according to the themes and categories which emerged. Results: One central theme with 10 subthemes emerged. Midwives verbalised their dissatisfaction with the current OBTT and made recommendations for the revision of the tool. Conclusion: The study highlighted midwives' experiences of the OBTT and recommendations for an ideal tool based on their knowledge of admission of a woman in labour. Contribution: This study provides a new OBTT from midwives' perspectives that could be useful in improving pregnancy and labour outcomes in clinical midwifery practice.

Prehospital triage tools in major trauma: a critical appraisal of a systematic review.

Effective triage is critical to ensure patients suffering major trauma are identified and access a pathway to definitive major trauma care, typically provided in a major trauma centre as part of an established major trauma system. The pre-hospital triage of trauma patients often relies upon the use of major trauma triage tools; this commentary critically appraises a recent systematic review which sought to evaluate and compare the accuracy of pre-hospital triage tools for major trauma.

The midwives' experiences of the use of obstetric triage and obstetric triage tool during labour in Bojanala district.

Background: Obstetric triage (OBT) is a standardised procedure, which plays a vital role in identifying women with obstetric risks upon admission for labour worldwide. In the last few years, considerable attention has been paid to perinatal problem identification programmes, and it has been determined that the inconsistent use of OBT delays midwives' responses to both existing and potential clinical problems amongst women in labour. This delay results in negative and serious perinatal outcomes that could have been prevented. This study was conducted to explore and describe midwives' experiences with OBT in Bojanala district. Aim: This study aimed to explore and describe midwives' experiences with OBT in Bojanala district. Setting: This study was conducted in Bojanala district of the North West Province. Two public healthcare facilities were selected where midwifery care and OBT services are rendered. Methods: A qualitative, descriptive, explorative research design was followed. Nine purposefully sampled midwives participated in a one-on-one in-depth interview. Data were analysed using Collaizi's descriptive method based on the themes and categories that emerged. Results: Three themes emerged. Midwives experienced the OBT tool to be inadequate; and that the low staff number contributes to an imbalance in the midwife-patient ratio. Midwives were also dissatisfied with less support they receive from their management. Conclusion: The study highlighted midwives' experiences of the use of OBT, as presented through their lived experiences. The midwives experienced challenges, which hindered them from practicing OBT to the best of their abilities. Contribution: The study highlighted challenges experienced by midwives regarding OBT, which directly influence the outcomes of pregnancy and labour.