Clinical Tool Research Articles

The Challenges of Implementing and Documenting Ottawa Ankle Rules in the Pediatric Emergency Department: A Retrospective Study

INTRODUCTION Acute ankle sprains account for nearly 2% of visits to the pediatric emergency department (PED). The Ottawa Ankle Rules (OAR) were developed as a safe and effective clinical decision-making tool for detecting the need for radiographs in adults with acute ankle pain. OAR state radiographs are required with at least one of the following: 1. Inability to bear weight immediately following the injury and for four steps in the ED 2. Bony tenderness at the posterior edge of the lateral or medial malleolus OBJECTIVE Few prospective cohort studies have attempted to assess OAR pediatric populations. This study investigates the validity and documentation of OAR within a single academic institution’s PED. METHODS This retrospective chart review included previously healthy patients aged 2-19 years who presented to the PED with a traumatic ankle injury between 2019 and 2021. Exclusion criteria were met with documented parental insistence for imaging studies. We compared calculated OAR predictive values to those in literature using Chi-squared tests and WINPEPI. RESULTS A total of 295 subjects were included. When only considering clinically significant fractures in the data analysis, 247 patients received X-rays and 42 clinically significant fractures were found. OAR were 100% sensitive (95% confidence interval 93.1–100.0), 12.2% specific (95% CI 8.2–17.2), with a positive predictive value (PPV) of 18.9% (95% CI 16.6–26.5), and negative predictive value (NPV) of 100% (95% CI 88.7–100.0). When comparing this study’s findings to those with similar design protocol, specificity was lower (p<0.05) and there was no significant difference in sensitivity, PPV, or NPV. CONCLUSION Implementing the highly sensitive OAR yielded zero missed fractures. Their poor specificity results in unnecessary radiation exposure, which also increases expense and wait time. Excess imaging may be attributed to ambiguous OAR criteria, their dependence on pediatric cooperation, and parental expectations for imaging studies.

Clinical Characteristics and Nomogram for Predicting Mortality in Patients with Postoperative Bloodstream Infection in Surgical Intensive Care Unit.

Bloodstream infection is amongst the leading causes of mortality for critical postoperative patients. However, data, especially from developing countries, are scary. Clinical decision-making tools for predicting postoperative bloodstream infection-related mortality are important but still lacking. To analyze the distribution of pathogens and develop a nomogram for predicting mortality in patients with postoperative bloodstream infection in the surgical intensive care unit. The clinical data, infection and pathogen-related data, and prognosis of patients with PBSI in the SICU from January 2017 to January 2022 were retrospectively collected. The distribution of pathogens and clinical characteristics of patients with PBSI were analyzed. The patients were assigned to a died group and a survived group according to their survival status. Independent predictors for mortality were identified by univariate and multivariate analyses. A nomogram for predicting PBSI-related death was developed based on these independent predictors. Calibration and decision-curve analysis were established to evaluate the nomogram. We collected postoperative patients admitted to our center from February 2022 to June 2023 as external validation sets to verify the nomogram. We also add the Brier score to further validate the model. In the training set, 7128 patients admitted to the SICU after different types of surgery were collected. A total of 198 patients and 308 pathogens were finally enrolled. The mean age of patients with PBSI was 64.38 ± 16.22 (range 18-90) years, and 56.1% were male. Forty-five patients (22.7%) died in the hospital. Five independent predictors including BMI, APACHE II score, estimated glomerular filtration rate (eGFR), urine volume in the first 24 hours after surgery, and peak temperature before positive blood cultures were selected to establish the nomogram. The area under the receiver operating characteristic curve for the prediction model was 0.922. Calibration curve and decision curve analysis showed good performance of the nomogram. Seventy patients with PBSI were collected as an external validation set, and thirteen patients died in this set. The external validation set was used to validate the nomogram, and the results showed that the AUC was 0.930 which was higher than that in the training set indicating that the nomogram had a good discrimination. The brier score was 0.087 for training set and 0.050 for validation set. PBSI was one of the key issues that clinicians were concerned and could be assessed with a good predictive model using simple clinical factors.

From theory to practice: translating the concept of cognitive resilience to novel therapeutic targets that maintain cognition in aging adults.

While the concept of cognitive resilience is well-established it has not been defined in a way that can be measured. This has been an impediment to studying its underlying biology and to developing instruments for its clinical assessment. This perspective highlights recent work that has quantified the expression of cortical proteins associated with cognitive resilience, thus facilitating studies of its complex underlying biology and the full range of its clinical effects in aging adults. These initial studies provide empirical support for the conceptualization of resilience as a continuum. Like other conventional risk factors, some individuals manifest higher-than-average cognitive resilience and other individuals manifest lower-than-average cognitive resilience. These novel approaches for advancing studies of cognitive resilience can be generalized to other aging phenotypes and can set the stage for the development of clinical tools that might have the potential to measure other mechanisms of resilience in aging adults. These advances also have the potential to catalyze a complementary therapeutic approach that focuses on augmenting resilience via lifestyle changes or therapies targeting its underlying molecular mechanisms to maintain cognition and brain health even in the presence of untreatable stressors like brain pathologies that accumulate in aging adults.

Predicting radiographic outcomes of vertebral body tethering in adolescent idiopathic scoliosis patients using machine learning.

Anterior Vertebral Body Tethering (AVBT) is a growing alternative treatment for adolescent idiopathic scoliosis (AIS), offering an option besides spinal fusion. While AVBT aims to correct spinal deformity through growth correction, its outcomes have been mixed. To improve surgical outcomes, this study aimed to develop a machine learning-based tool to predict short- and midterm spinal curve correction in AIS patients who underwent AVBT surgery, using the most predictive clinical, radiographic, and surgical parameters. After institutional review board approval and based on inclusion criteria, 91 AIS patients who underwent AVBT surgery were selected from the Shriners Hospitals for Children, Philadelphia. For all patients, longitudinal standing (PA or AP, and lateral) and side bending spinal Radiographs were retrospectively obtained at six visits: preop and first standing, one year, two years, five years postop, and at the most recent follow-up. Demographic, radiographic, and surgical features associated with curve correction were collected. The sequential backward feature selection method was used to eliminate correlated features and to provide a rank-ordered list of the most predictive features of the AVBT correction. A Gradient Boosting Regressor (GBR) model was trained and tested using the selected features to predict the final correction of the curve in AIS patients. Eleven most predictive features were identified. The GBR model predicted the final Cobb angle with an average error of 6.3 ± 5.6 degrees. The model also provided a prediction interval, where 84% of the actual values were within the 90% prediction interval. A list of the most predictive features for AVBT curve correction was provided. The GBR model, trained on these features, predicted the final curve magnitude with a clinically acceptable margin of error. This model can be used as a clinical tool to plan AVBT surgical parameters and improve outcomes.

Implementing a Clinical Decision Support Tool to Improve Physical Activity.

Currently, only about half of U.S. adults achieve current physical activity guidelines. Routine physical activity is not regularly assessed, nor are patients routinely counseled by their healthcare provider on achieving recommended levels. The three-question physical activity vital sign (PAVS) was developed to assess physical activity duration and intensity and identify adults not meeting physical activity guidelines. Clinical decision support provided via a best practice advisory in an electronic health record (EHR) system can be triggered as a prompt, reminding healthcare providers to implement the best practice intervention when appropriate. Remote patient monitoring of physical activity can provide objective data in the EHR. This study aimed to evaluate the feasibility and clinical utility of embedding the PAVS and a triggered best practice advisor into the EHR in an ambulatory preventive cardiology practice setting to alert providers to patients reporting low physical activity and prompt healthcare providers to counsel these patients as needed. Three components based in the EHR were integrated for the purpose of this study: Patients completed the PAVS through their electronic patient portal prior to an office visit, a best practice advisory was created to prompt providers to counsel patients who reported low levels of physical activity, and remote patient monitoring via Fitbit synced to the EHR provided objective physical activity data. The intervention was pilot-tested in the Epic EHR for 1 year (July 1, 2021 to June 30, 2022). Qualitative feedback on the intervention from both providers and patients was obtained at the completion of the study. Monthly assessments of the use of the PAVS and best practice advisory and remote patient monitoring were completed. Patients' completion of the PAVS varied from 35% to 48% per month. The best practice advisory was signed by providers between 2% and 65% and was acknowledged by 2%-22% per month. The majority (58%) of patients were able to sync a Fitbit device to their EHR for remote monitoring. Although uptake of each component needs improvement, this pilot demonstrated the feasibility of incorporating a physical activity promotion intervention into the EHR. Qualitative feedback provided guidance for future implementation.

Population-Level Portal-Based Anxiety and Depression Screening Perspectives in HIV Care Clinicians: Qualitative Study Using the Consolidated Framework for Implementation Research.

Depression and anxiety are common among people with HIV and are associated with inadequate viral suppression, disease progression, and increased mortality. However, depression and anxiety are underdiagnosed and undertreated in people with HIV owing to inadequate visit time and personnel availability. Conducting population-level depression and anxiety screening via the patient portal is a promising intervention that has not been studied in HIV care settings. We aimed to explore facilitators of and barriers to implementing population-level portal-based depression and anxiety screening for people with HIV. We conducted semistructured hour-long qualitative interviews based on the Consolidated Framework for Implementation Research with clinicians at an HIV clinic. A total of 10 clinicians participated in interviews. In total, 10 facilitators and 7 barriers were identified across 5 Consolidated Framework for Implementation Research domains. Facilitators included advantages of systematic screening outside clinic visits; the expectation that assessment frequency could be tailored to patient needs; evidence from the literature and previous experience in other settings; respect for patient privacy; empowering patients and facilitating communication about mental health; compatibility with clinic culture, workflows, and systems; staff beliefs about the importance of mental health screening and benefits for HIV care; engaging all clinic staff and leveraging their strengths; and clear planning and communication with staff. Barriers included difficulty in ensuring prompt response to suicidal ideation; patient access, experience, and comfort using the portal; limited availability of mental health services; variations in how providers use the electronic health record and communicate with patients; limited capacity to address mental health concerns during HIV visits; staff knowledge and self-efficacy regarding the management of mental health conditions; and the impersonal approach to a sensitive topic. We proposed 13 strategies for implementing population-level portal-based screening for people with HIV. Before implementation, clinics can conduct local assessments of clinicians and clinic staff; engage clinicians and clinic staff with various roles and expertise to support the implementation; highlight advantages, relevance, and evidence for population-level portal-based mental health screening; make screening frequency adaptable based on patient history and symptoms; use user-centered design methods to refine results that are displayed and communicated in the electronic health record; make screening tools available for patients to use on demand in the portal; and create protocols for positive depression and anxiety screeners, including those indicating imminent risk. During implementation, clinics should communicate with clinicians and clinic staff and provide training on protocols; provide technical support and demonstrations for patients on how to use the portal; use multiple screening methods for broad reach; use patient-centered communication in portal messages; provide clinical decision support tools, training, and mentorship to help clinicians manage mental health concerns; and implement integrated behavioral health and increase mental health referral partnerships.

Introducing a pharmacist-led transmural care program to reduce drug-related problems in orthogeriatric patients: a prospective interventional study

BackgroundOrthogeriatric patients have an increased risk for complications due to underlying comorbidities, chronic drug therapy and frequent treatment changes during hospitalization. The clinical pharmacist (CP) plays a key role in transmural communication concerning polypharmacy to improve continuity of care by the general practitioner (GP) after discharge. In this study, a pharmacist-led transmural care program, tailored to orthogeriatric patients, was evaluated to reduce drug related problems (DRPs) after discharge.MethodsAn interventional study was performed (pre-period: 1/10/2021-31/12/2021; post-period: 1/01/2022-31/03/2022). Patients (≥ 65 years) from the orthopedic department were included. The pre-group received usual care, the post-group received the pharmacist-led transmural care program. The DRP reduction rate one month after discharge was calculated. Associated factors for the DRP reduction rate were determined in a multiple linear regression analysis. The GP acceptance rate was determined for the proposed interventions, as well as their clinical impact using the Clinical, Economic and Organizational (CLEO) tool. Readmissions one month after discharge were evaluated.ResultsOverall, 127 patients were included (control n = 61, intervention n = 66). The DRP reduction rate was statistically significantly higher in the intervention group compared to the control group (p < 0.001). The pharmacist’s intervention was associated with an increased DRP reduction rate (+ 1.750, 95% confidence interval 1.222–2.278). In total, 141 interventions were suggested by the CP, of which 71% were accepted one month after discharge. In both periods, four patients were readmitted one month after discharge. 58% of the interventions had a clinical impact (≥ 2 C level using the CLEO-tool) according to the geriatrician and for the CP it was 45%, indicating that they had the potential to avoid patient harm.ConclusionsThe pharmacist-led transmural care program significantly reduced DRPs in geriatric patients from the orthopedic department one month after discharge. The transmural communication with GPs resulted in a high acceptance rate of the proposed interventions.

Novel Method for Development of Nanobubbles with Consistent Size Distribution

Background/Objective:Ultrasound is a versatile non-invasive clinical tool that can be used for monitoring, diagnosis, and management of disease. Contrast-Enhanced Ultrasound (CEUS) takes advantage of microbubbles which are small gas filled bubbles made of lipids to image and evaluate functioning of organs such as the heart, liver, and kidneys. CEUS is better for assessing vascularization of tissues compared to US. However, ultrasound contrast agents have been limited by their size and cannot extravasate blood vessels easily. Current methods also have high polydispersity. We hypothesize that a microfluidic device could deliver nanobubbles with improved size distribution by mixing through micro sized pores.&#x0D; Methods:The microfluidic device was fabricated using 3D printing for a proof of concept and photolithography for functional use and was done in a class 1-10-100-1000 cleanroom. SU-8 photoresist was spun onto a 4” silicon wafer at 3000 rpm for 30 seconds. The silicon wafer was then baked and exposed under UV with a photomask designed on AutoCAD. The wafer was then developed, hard baked, and was cross linked with Polydimethylsiloxane (PDMS).&#x0D; Results:Dynamic light scattering data of a shaken formulation shows a monodisperse distribution. Further work will have to be done to determine if this can be delivered by microfluidic device and the parameters that affect size and polydispersity.&#x0D; Conclusion and Potential Impact:This study will determine the parameters needed for the microfluidic device to efficiently create microbubbles for contrast enhanced ultrasound.

NIDCD’s 5-year strategic plan seeks innovations in assistive device technologies

The National Institute on Deafness and Other Communication Disorders (NIDCD) recently announced the release of its five-year strategic plan, with scientific priorities that include basic research, model systems, innovative technologies, individualized treatment approaches, scientific data sharing, and translation of research into clinical tools [1].

Single-sided magnetic resonance-based sensor for point-of-care evaluation of muscle

Magnetic resonance imaging is a widespread clinical tool for the detection of soft tissue morphology and pathology. However, the clinical deployment of magnetic resonance imaging scanners is ultimately limited by size, cost, and space constraints. Here, we discuss the design and performance of a low-field single-sided magnetic resonance sensor intended for point-of-care evaluation of skeletal muscle in vivo. The 11 kg sensor has a penetration depth of >8 mm, which allows for an accurate analysis of muscle tissue and can avoid signal from more proximal layers, including subcutaneous adipose tissue. Low operational power and shielding requirements are achieved through the design of a permanent magnet array and surface transceiver coil. The sensor can acquire high signal-to-noise measurements in minutes, making it practical as a point-of-care tool for many quantitative diagnostic measurements, including T2 relaxometry. In this work, we present the in vitro and human in vivo performance of the device for muscle tissue evaluation.

An Introduction to Clinical Informatics for Early Medical Learners Using Colorectal Cancer Screening.

Clinical informatics is an important component of the AMA-endorsed third pillar of undergraduate medical education, health systems science. Discrete educational opportunities for clinical informatics and health systems science among early learners are lacking in medical school curricula. We developed and evaluated a multistep, 2.5-hour activity during the gastroenterology module to introduce these topics to preclerkship medical students. A didactic session introducing clinical informatics and clinical decision support and reviewing health promotion and screening concepts was followed by small-group activities. Students worked through a series of exercises culminating in the generation of a clinical decision support tool based on the United States Preventive Services Task Force (USPSTF) colorectal cancer screening recommendations. Between 2022 and 2023, 326 first-year medical students participated in this workshop. Feedback was predictably mixed. In 2022, 88% of postclass survey respondents confirmed having a better clinical informatics understanding after the workshop. In 2023, students reported a statistically significant increase in their self-reported understanding of the role of clinical informatics, clinical decision support, and USPSTF colorectal cancer recommendations. Clinical decision support is a viable pathway for introduction of clinical informatics, health systems science, and public health/prevention topics. Our educational approach offers an interactive introduction to this group of topics that can benefit future physicians. While colon cancer provides a robust option for the clinical situation, this activity could be modified to fit into many different clinical scenarios, allowing for interdisciplinary education during either undergraduate or graduate medical education.

Providers' Experiences and Perspectives in Treating Patients With Co-Occurring Opioid and Stimulant Use Disorders in the Hospital.

The overdose crisis is increasingly characterized by opioid and stimulant co-use. Despite effective pharmacologic treatment for both opioid use disorder (OUD) and contingency management for stimulant use disorders, most individuals with these co-occurring conditions are not engaged in treatment. Hospitalization is an important opportunity to engage patients and initiate treatment, however existing hospital addiction care is not tailored for patients with co-use and may not meet the needs of this population. Semi-structured interviews were conducted with hospital providers about their experiences and perspectives treating patients with opioid and stimulant co-use. We used directed content analysis to identify common experiences and opportunities to improve hospital-based treatment for patients with co-use. From qualitative interviews with 20 providers, we identified 4 themes describing how co-use complicated hospital-based substance use treatment: (1) patients' unstable circumstances impacting the treatment plan, (2) co-occurring withdrawals are difficult to identify and treat, (3) providers holding more stigmatizing views of patients with co-use, and (4) stimulant use is often "ignored" in the treatment plans. Participants also described a range of potential opportunities to improve hospital-based treatment of co-use that fall into 3 categories: (1) provider practice changes, (2) healthcare system changes, and (3) development and validation of clinical tools and treatment approaches. We identified unique challenges providing hospital addiction medicine care to patients who use both opioids and stimulants. These findings inform the development, implementation, and testing of hospital-based interventions for patients with co-use.

Impact of point-of-care clinical decision support on referrer behavior, imaging volume, patient radiation dose exposure, and sustainability

ObjectivesWhen referring patients to radiology, it is important that the most appropriate test is chosen to avoid inappropriate imaging that may lead to delayed diagnosis, unnecessary radiation dose, worse patient outcome, and poor patient experience. The current radiology appropriateness guidance standard at our institution is via access to a standalone web-based clinical decision support tool (CDST). A point-of-care (POC) CDST that incorporates guidance directly into the physician workflow was implemented within a subset of head and neck cancer specialist referrers. The purpose of this audit was to evaluate the imaging pathway, pre- and post-implementation to assess changes in referral behavior.MethodsCT and MRI neck data were collected retrospectively to examine the relationship between imaging referrals pre- and post-POC CDST implementation. Effective radiation dose and estimated carbon emissions were also compared.ResultsThere was an overall reduction in absolute advanced imaging volume by 8.2%, and a reduction in duplicate CT and MRI imaging by 61%, p < 0.0001. There was also a shift in ordering behavior in favor of MRI (OR [95% CI] = 1.50 [1.02–2.22], p = 0.049). These changes resulted in an effective radiation dose reduction of 0.27 mSv per patient, or 13 equivalent chest x-rays saved per patient, p < 0.0001. Additionally, the reduction in unnecessary duplicate imaging led to a 13.5% reduction in carbon emissions, p = 0.0002.ConclusionsImplementation of the POC CDST resulted in a significant impact on advanced imaging volume, saved effective dose, and reduction in carbon emissions.Critical relevance statementThe implementation of a point-of-care clinical decision support tool may reduce multimodality ordering and advanced imaging volume, manifesting in reduced effective dose per patient and reduced estimated carbon emissions. Widespread utilization of the point-of-care clinical decision support tool has the potential to reduce imaging wait times.Key points• Implementation of the point-of-care clinical decision support tool reduced the number of patients who simultaneously had a CT and MRI ordered for the same clinical indication compared to a standalone web-based clinical decision support tool.• The point-of-care clinical decision support tool reduced the absolute number of CT/MRI scans requested compared to the standalone web-based clinical decision support tool.• Utilization of the point-of-care clinical decision support tool led to a significant reduction in the effective dose per patient compared to the standalone web-based clinical decision support tool.Graphical

Brain-derived Neurotrophic Factor Level and Gene Polymorphism as Risk Factors for Depression in Patients with type 2 Diabetes Mellitus- A Case-Controlled Study.

Diabetes mellitus and depression are comorbidities that can be caused by each other. Brain-derived neurotrophic factor (BDNF) functions as a neuronal growth factor. It maintains the functional integrity of the nervous system. To study the possible association between BDNF levels and gene polymorphism with depression in patients diagnosed with type 2 diabetes mellitus. The Elisa technique measured BDNF, and rs6265 gene polymorphism was detected using real-time PCR. Depression was assessed utilizing a clinical interview tool designed to establish the diagnosis of depression and differentiate it from other psychiatric diseases. BDNF levels were significantly lower in patients with type 2 diabetes mellitus and symptoms of depression than in patients with type 2 diabetes mellitus and no symptoms of depression (82.6±16.1. Vs 122± 17.47, p˂ 0.001). There was a statistically significant difference in BDNF levels in patients with diabetes among the three genotypes of the BDNF gene (p-value < 0.001). Val/ Val carriers had the highest serum BDNF levels, and Met/ Met carriers had the lowest serum BDNF levels. Subgroup analysis showed statistically significant genotype-related differences in serum BDNF levels among the three subgroups in the Depression group. Val/ Val carriers had the highest serum BDNF levels, and Met/ Met carriers had the lowest serum BDNF levels. BDNF Val66Met polymorphism had no significant association with the presence of depression, yet there was a trend towards significance (p = 0.05) Conclusion: In this pilot, Low levels of BDNF were associated with depression in patients with type 2 diabetes. Carriers of the Met/ Met allele have the lowest serum BDNF levels. Multicenter studies with more participants are required.

Omadacycline for the treatment of severe pneumonia caused by Chlamydia psittaci complicated with acute respiratory distress syndrome during the COVID-19 pandemic.

Chlamydia psittaci infection in humans is a rare cause that mainly present as community-acquired pneumonia. Severe Chlamydia psittaci pneumonia can lead to acute respiratory distress syndrome (ARDS), septic shock, or multiple organ dysfunction with a mortality rate of 15%-20% before accurate diagnosis and targeted treatment. Metagenomic next-generation sequencing (mNGS) has an advantage in achieving early diagnosis. In the study, omadacycline implementation was described to provide a better understanding of effectiveness in severe psittacosis pneumonia with ARDS. Sixteen patients with severe psittacosis pneumonia with ARDS were selected between September 2021 and October 2022. They were diagnosed using mNGS and treated with omadacycline. Retrospective analysis of clinical manifestations, laboratory data, disease progression, diagnostic tool, treatment, and prognosis was summarized. Common symptoms included fever, dyspnea, and cough. All patients developed ARDS, accompanied by septic shock (43.7%) and pulmonary embolism (43.7%). Laboratory data showed normal leucocytes, increased creatine kinase isoenzyme, and decreased albumin with liver dysfunction in most patients. All patients had increased neutrophils, C-reactive protein, procalcitonin, and D-dimer with decreased lymphocytes. Airspace consolidation, ground glass opacity, and pleural effusion were found on chest CT. mNGS results were obtained in 24-48 h to identify the diagnosis of Chlamydia psittacosis. All patients received mechanical ventilation with omadacycline treatment. Fourteen patients experienced complete recovery, while the other two patients died from multidrug-resistant bacterial infection and renal failure. mNGS has a significant value in the diagnosis of Chlamydia psittaci infection. Timely treatment of omadacycline can improve prognosis and provide a promising new option for the treatment of severe Chlamydia psittaci pneumonia with ARDS.

Limitations of BMI z scores for assessing weight change: A clinical tool versus individual risk.

Although pediatric growth curves provide clinical utility, using these metrics for within-person change over time can be misleading. As research is focused on understanding cardiometabolic consequences of weight gain, it is important to use precise metrics to analyze these longitudinal research questions. Despite several foundational recommendations to limit the use of reference pediatric growth curves (e.g., BMI z scores) for within-person longitudinal research, it has evolved into the "gold standard" for using growth curves for pediatric weight gain analyses. Therefore, the objective of this paper is to discuss (A) the methodology used to create reference growth curves; (B) the appropriate use of reference pediatric BMI growth curves within the context of cross-sectional and longitudinal analyses in research; and (C) how to select metrics based on desired evaluations. Careful consideration using standardized references scores is essential when assessing obesity-related questions and comorbid risk over time in pediatric populations.

Inter-rater and intra-rater reliability of manual assessment of respiratory motion in patients with unilateral cervical radiculopathy: A cross-sectional study

BackgroundAltered breathing pattern is a consequence of dysfunctional breathing. The respiratory pattern might be impaired in patients with cervical radiculopathy due to the involvement of common nerve roots with the phrenic nerve (C3– C5). ObjectiveThe aim of this study was to investigate the inter-rater and intra-rater reliability of a technique for evaluating the breathing pattern known as manual assessment of respiratory motion (MARM) in patients with unilateral cervical radiculopathy. DesignCross-sectional study. SettingRehabilitation Sciences Research Center ParticipantsTwenty-five patients with unilateral cervical radiculopathy aged 30–55 years participated in this study. MethodsTwo experienced physical therapists investigated the respiratory pattern of the patients during normal and deep breathing using MARM, separately. Assessments were repeated again a week apart by each examiner. The inter- and intra-rater reliability of the MARM were calculated. Results“Very good” inter-rater and intra-rater reliability were found with the MARM values during both normal and deep breathing patterns. (Inter-rater: ICC range = 0.71 to 0.82; intra-rater: ICC range = 0.72 to 0.80). ConclusionsMARM is a reliable clinical and research tool for assessing breathing patterns with very good inter- and intra-rater reliability in patients with unilateral cervical radiculopathy.

Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation

Abstract Background Big data and AI applications now play a major role in many health contexts. Much research has already been conducted on ethical and social challenges associated with these technologies. Likewise, there are already some studies that investigate empirically which values and attitudes play a role in connection with their design and implementation. What is still in its infancy, however, is the comparative investigation of the perspectives of different stakeholders. Methods To explore this issue in a multi-faceted manner, we conducted semi-structured interviews as well as focus group discussions with patients and clinicians. These empirical methods were used to gather interviewee’s views on the opportunities and challenges of medical AI and other data-intensive applications. Results Different clinician and patient groups are exposed to medical AI to differing degrees. Interviewees expect and demand that the purposes of data processing accord with patient preferences, and that data are put to effective use to generate social value. One central result is the shared tendency of clinicians and patients to maintain individualistic ascriptions of responsibility for clinical outcomes. Conclusions Medical AI and the proliferation of data with import for health-related inferences shape and partially reconfigure stakeholder expectations of how these technologies relate to the decision-making of human agents. Intuitions about individual responsibility for clinical outcomes could eventually be disrupted by the increasing sophistication of data-intensive and AI-driven clinical tools. Besides individual responsibility, systemic governance will be key to promote alignment with stakeholder expectations in AI-driven and data-intensive health settings.

Assessing the clinical reasoning of ChatGPT for mechanical thrombectomy in patients with stroke

BackgroundArtificial intelligence (AI) has become a promising tool in medicine. ChatGPT, a large language model AI Chatbot, shows promise in supporting clinical practice. We assess the potential of ChatGPT as...

Non-contrast ultrasound image analysis for spatial and temporal distribution of blood flow after spinal cord injury

Ultrasound technology can provide high-resolution imaging of blood flow following spinal cord injury (SCI). Blood flow imaging may improve critical care management of SCI, yet its duration is limited clinically by the amount of contrast agent injection required for high-resolution, continuous monitoring. In this study, we aim to establish non-contrast ultrasound as a clinically translatable imaging technique for spinal cord blood flow via comparison to contrast-based methods and by measuring the spatial distribution of blood flow after SCI. A rodent model of contusion SCI at the T12 spinal level was carried out using three different impact forces. We compared images of spinal cord blood flow taken using both non-contrast and contrast-enhanced ultrasound. Subsequently, we processed the images as a function of distance from injury, yielding the distribution of blood flow through space after SCI, and found the following. (1) Both non-contrast and contrast-enhanced imaging methods resulted in similar blood flow distributions (Spearman’s ρ = 0.55, p < 0.0001). (2) We found an area of decreased flow at the injury epicenter, or umbra (p < 0.0001). Unexpectedly, we found increased flow at the periphery, or penumbra (rostral, p < 0.05; caudal, p < 0.01), following SCI. However, distal flow remained unchanged, in what is presumably unaffected tissue. (3) Finally, tracking blood flow in the injury zones over time revealed interesting dynamic changes. After an initial decrease, blood flow in the penumbra increased during the first 10 min after injury, while blood flow in the umbra and distal tissue remained constant over time. These results demonstrate the viability of non-contrast ultrasound as a clinical monitoring tool. Furthermore, our surprising observations of increased flow in the injury periphery pose interesting new questions about how the spinal cord vasculature reacts to SCI, with potentially increased significance of the penumbra.