Clinical Guidance Research Articles

Targeted metabolomics study of fatty-acid metabolism in lean metabolic-associated fatty liver disease patients.

The annual incidence of metabolic-associated fatty liver disease (MAFLD) in China has been increasing and is often overlooked owing to its insidious characteristics. Approximately 50% of the patients have a normal weight or are not obese. They are said to have lean-type MAFLD, and few studies of such patients are available. Because MAFLD is associated with abnormal lipid metabolism, lipid-targeted metabolomics was used in this study to provide experimental evidence for early diagnosis and pathogenesis. To investigate the serum fatty-acid metabolic characteristics in lean-type MAFLD patients using targeted serum metabolomic technology. Between January and June 2022, serum samples were collected from MAFLD patients and healthy individuals who were treated at Shanghai Putuo District Central Hospital for serum metabolomics analysis. Principal component analysis and orthogonal partial least squares-discriminant analysis models were developed, and univariate analysis was used to screen for biomarkers of lean-type MAFLD and analyze metabolic pathways. UPLC-Q-Orbitrap/MS content determination was used to determine serum palmitic acid (PA), oleic acid (OA), linoleic acid (LA), and arachidonic acid (AA) levels in lean-type MAFLD patients. Urea nitrogen and uric acid levels were higher in lean-type MAFLD patients than in healthy individuals (P < 0.05). Alanine transaminase and cholinesterase levels were higher in lean-type MAFLD patients than in healthy individuals (P < 0.01). The expression of high-density lipoprotein and apolipoprotein A-1 were lower in lean-type MAFLD patients than in healthy individuals (P < 0.05) and the expression of triglycerides and fasting blood glucose were increased (P < 0.01). A total of 65 biomarkers that affected the synthesis and metabolism of fatty acids were found with P < 0.05 and variable importance in projection > 1". The levels of PA, OA, LA, and AA were significantly increased compared with healthy individuals. The metabolic profiles of lean-type MAFLD patients and healthy participants differed significantly, yielding 65 identified biomarkers. PA, OA, LA, and AA exhibited the most significant changes, offering valuable clinical guidance for prevention and treatment of lean-type MAFLD.

Benzodiazepine Prescription Patterns After Mild Traumatic Brain Injury inU.S. Military Service Members.

Clinical practice guidelines (CPGs) and clinical recommendations (CRs) are developed to aide and guide providers in treating a variety of conditions, including traumatic brain injury (TBI). There is little knowledge on the impact that CPGs and CRs have on provider practice. One TBI recommendation that was able to be tracked in medical record codes was the use of benzodiazepines (BZD). Because of potential for misuse, diversion, addiction, cognitive impairment, and brain healing interference, the DoD and Department of Veterans Affairs (VA) jointly discourage prescribing BZD after TBI. As part of an effort to look at translation of CPG guidance into clinical practice, our objective was to examine the issuance of BZD prescriptions, including dose, type, and prescribing provider, prescribing setting, and primary diagnosis at issuance among U.S. service members with mild Traumatic Brian Injury (mTBI). Using DoD data sourced from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) databases of the Military Health System (MHS) Medical Data Repository (MDR), we identified all U.S. service members with a first lifetime diagnosis of mTBI from October 1, 2015 to September 30, 2016. Data on prescriptions issued to this group during a period of active treatment for a mTBI were obtained from the Pharmacy Detail Transaction Service (PDTS) databases of the MDR and identified BZD prescriptions based on the American Hospital Formulary Service (AHFS) therapeutic classification system. We validated coding assumptions through structured review of the clinical record contained within the Armed Forces Health Longitudinal Technology Application (AHLTA) of 30 randomly selected cohort members. Among U.S. service members, 4.5% filled a BZD prescription while under active medical treatment for a recent mTBI. These service members were more likely female and older when compared to their counterparts not prescribed BZD. Among service members under active treatment for mTBI during the study period, 52.6% (n = 7,935) filled a prescription; of these, 8.5% (n = 676) filled a BZD prescription. Of U.S. service members filing a BZD prescription while undergoing active treatment for an mTBI, 64.6% (n = 437) filled prescriptions for BZD and antidepressants, 54.9% (n = 371) filled prescriptions for both BZD and NSAIDS, and 42.2% (n = 285) concurrently filled prescriptions for BZD and opioids. This effort to examine the translation of CPG recommendations into practice through evaluation of medical record data indicates that providers are prescribing BZD to patients under active treatment for an acute mTBI. The mTBI CPG recommends that the BZD class of medications be avoided in patients healing from brain injury. However, the team recognizes there are confounding factors that may impact the medications that are prescribed for patients with mTBI. Additional work to understand how CPGs and CRs are received and utilized by providers may elucidate opportunities to close the gap between clinical practice guidance and clinical practice.

Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians.

Artificial intelligence (AI) models can play a more effective role in managing patients with the explosion of digital health records available in the healthcare industry. Machine-learning (ML) and deep-learning (DL) techniques are two methods used to develop predictive models that serve to improve the clinical processes in the healthcare industry. These models are also implemented in medical imaging machines to empower them with an intelligent decision system to aid physicians in their decisions and increase the efficiency of their routine clinical practices. The physicians who are going to work with these machines need to have an insight into what happens in the background of the implemented models and how they work. More importantly, they need to be able to interpret their predictions, assess their performance, and compare them to find the one with the best performance and fewer errors. This review aims to provide an accessible overview of key evaluation metrics for physicians without AI expertise. In this review, we developed four real-world diagnostic AI models (two ML and two DL models) for breast cancer diagnosis using ultrasound images. Then, 23 of the most commonly used evaluation metrics were reviewed uncomplicatedly for physicians. Finally, all metrics were calculated and used practically to interpret and evaluate the outputs of the models. Accessible explanations and practical applications empower physicians to effectively interpret, evaluate, and optimize AI models to ensure safety and efficacy when integrated into clinical practice.

Patient participation-18 months of patient and staff perspectives in kidney care: A mixed methods study addressing the effects of facilitating staff person-centredness.

Patient participation should encapsulate the individual's resources and needs, though such standards remain rationed for people living with a long-term health concern like kidney failure. To illustrate what patient participation signified to patients and staff in kidney care, and whether an agreed or disagreed conceptualisation occurred over time, evaluating the influence of two study-specific interventions to facilitate more person-centred participation. By convergent mixed methods design across 9 units in Sweden, we repeated the following data collection at 3 time points over 18 months: semistructured interviews with patients and staff (n = 72), and structured reviews for accounts of participation in patient records (n = 240). Data were subjected to content analysis and descriptive statistics, respectively. The outcomes were appraised for changes over time besides the interventions to enhance attention to patients' participation: a clinical tool and guidance distributed to management, and additional local support, respectively. Both patients and staff described patient participation as a comprehension of the disease and its management in everyday life. Yet, patients accentuated participation as one's experiences being recognised, and mutual knowledge exchange. Instead, staff emphasised the patients managing their treatment. The health records primarily represented what staff do to support their notion of patient participation. No influence of the interventions was noted, but what signified patient participation was maintained over time. Both patients and staff stress the importance of patient participation, although they focus on different elements. Further person-centred conduct warrants a shared conceptualisation and strategies addressing and scaffolding patients' preferences and means.

Evaluating the Efficacy of Homeopathic Treatments in the Management of Eczema: A Comprehensive Review

Background: Eczema, a chronic inflammatory skin condition, significantly affects patients' quality of life. Conventional treatments, while often effective, can have limitations and adverse effects. Homeopathy, an alternative medical system, has been proposed as a complementary approach for eczema management. This review aims to evaluate the efficacy of homoeopathic treatments in managing eczema. Methods: A comprehensive literature review was conducted using online databases. Studies were selected based on predefined inclusion and exclusion criteria, focusing on randomised controlled trials, observational studies, and patient-reported outcomes. Data extraction and quality assessment were performed systematically, and results were synthesised using qualitative and quantitative methods. Results: The review identified diverse studies exploring homoeopathic treatments for eczema. Evidence on the efficacy of homoeopathy in eczema management is mixed, with some studies reporting significant improvements in symptoms and quality of life, while others show limited or no benefit compared to placebo. Homoeopathy offers a benefit, particularly in reducing symptom severity and improving patient satisfaction. Subgroup analyses indicated variations in response based on age, eczema severity, and individual patient characteristics. Discussion: The findings suggest that homoeopathic treatments could play a role in the holistic management of eczema, potentially enhancing patient outcomes. However, the variability in study quality and outcomes highlights the need for more rigorous research to establish definitive conclusions. Potential mechanisms of action and clinical implications are discussed, emphasizing the importance of personalized treatment approaches. Conclusion: While homoeopathy shows promise as a treatment for eczema, further high-quality studies are necessary to validate its efficacy and understand its role within a broader therapeutic context. Future research should focus on standardized methodologies and long-term effects to provide clearer guidance for clinicians and patients.

Artificial intelligence and clinical guidance in male reproductive health: ChatGPT4.0's AUA/ASRM guideline compliance evaluation.

Male infertility is defined as the inability of a male to achieve a pregnancy in a fertile female by the American Urological Association (AUA) and the American Society for Reproductive Medicine (ASRM). Artificial intelligence, particularly in language processing models like ChatGPT4.0, offers new possibilities for supporting clinical decision-making. This study aims to assess the effectiveness of ChatGPT4.0 in responding to clinical queries regarding male infertility, which is aligned with AUA/ASRM guidelines. This observational study employed a design to evaluate the performance of ChatGPT4.0 across 1073 structured clinical queries categorized into true/false, multiple-choice, and open-ended. Two independent reviewers specializing in reproductive medicine assessed the responses using a six-point Likert scale to evaluate accuracy, relevance, and guideline adherence. In the true/false category, the initial accuracy was 92%, which increased to 94% by the end of the study period. For multiple-choice questions, accuracy improved from 85% to 89%. The most significant gains were seen in open-ended questions, where accuracy rose from 78% to 86%. Initially, some responses did not fully align with the AUA/ASRM guidelines. However, by the end of the 60 days, these responses had become more comprehensive and clinically relevant, indicating an improvement in the model's ability to generate guideline-conformant answers (p<0.05). The depth and accuracy of responses for higher difficulty questions also showed enhancement (p<0.01). ChatGPT4.0 can serve as a valuable support tool in managing male infertility, providing reliable, guideline-based information that enhances the accuracy of clinical decision-making tools and supports patient education.

Clinical Analysis of the Efficacy and Safety of Different Neoadjuvant Strategies in the Treatment of Locally Advanced Rectal Cancer

Objective In this study, we retrospectively analysed the efficacy and safety of three treatment models, namely, short-course radiotherapy sequential XELOX chemotherapy, neoadjuvant mFOLFOX6 concurrent radiotherapy and long-course concurrent radiotherapy with total mesorectal excision (TME) after treatment of locally advanced rectal cancer with high-risk factors. Methods We collected clinical data on 177 patients with locally advanced rectal cancer (cT3-4 and/or cN+) who were treated at the Department of Abdominal Oncology of the Affiliated Cancer Hospital of Guizhou Medical University from December 2017 to December 2022. All patients were associated with 2-3 risk factors [T4b, N2, Extramural Vascular Invasion (EMVI), Mesorectal Fascia (MRF) positivity], positive lateral lymph nodes. Among them, there were 45 cases in the short course radiotherapy sequential XELOX chemotherapy group (RT + XELOX group); 64 cases in the neoadjuvant mFOLFOX6 concurrent radiotherapy group (mFOLFOX6 + CRT group); and 68 cases in the long course concurrent radiotherapy group (CRT group). The RT + XELOX group and mFOLFOX6 + CRT group completed radiotherapy and 4 cycles of neoadjuvant chemotherapy, respectively, and then rested for 1-2 weeks before TME surgery; the CRT group completed concurrent radiotherapy and then rested for 6-8 weeks before TME surgery.Adjuvant chemotherapy was conducted after surgery in each of the three groups: 2 cycles of adjuvant chemotherapy with XELOX regimen in the RT + XELOX group, 4-6 cycles of adjuvant chemotherapy with mFOLFOX6 in the mFOLFOX6 + CRT group, and 8-12 cycles of adjuvant chemotherapy with mFOLFOX6 in the CRT group.The pathological complete response rate (pCR rate), tumour downstage rate, tumour complete resection rate (R0 resection rate), local recurrence rate, distant metastasis rate, overall survival rate, incidence of adverse reactions, surgical complications and completion rate of perioperative systemic chemotherapy were compared among patients in the three groups of cases after TME. Results The pCR rate (21.95% vs 17.24% vs 5.00%, p = 0.034) and and tumour downstage rate (78.05% vs 68.97% vs 53.33%, p = 0.029) were higher in the RT + XELOX group and mFOLFOX6 + CRT group compared to the CRT group. The RT + XELOX group had a lower 3-year distant metastasis rate (14.63% vs 36.67%, p = 0.048) and improved 3-year overall survival (76.57% vs 48.56%, p < 0.001) compared to the CRT group. There was no significant reduction in the 3-year distant metastasis rate in the mFOLFOX6 + CRT group versus the CRT group (27.59% vs 36.67%, p = 0.719), and the 3-year overall survival was similar (51.23% vs 48.56%, p = 0.35). Multi-logistic regression analysis and stratified analysis showed that patients in the RT + XELOX group and mFOLFOX6 + CRT group were more likely to achieve pCR than the CRT group (RT + XELOX group: OR 7.3, 95% CI [2.6-20.8], p < 0.001; mFOLFOX6 + CRT group OR 2.9, 95% CI [1.1-7.9], p = 0.036). The completion rates of perioperative systemic chemotherapy in the RT + XELOX, mFOLFOX6 + CRT, and CRT groups were 82.93% vs. 84.48% vs. 61.67% (χ2=9.95, p = 0.007), respectively. And there were significant differences in grade 3-4 leukopenia and thrombocytopenia (incidence of leukopenia: 15.50% vs. 7.81% vs. 1.47%, p = 0.045; incidence of thrombocytopenia: 13.33% vs 7.81% vs 1.47%, p = 0.027). There was no significant difference in the incidence of intraoperative and postoperative complications among the three groups (p > 0.05). Conclusions RT + XELOX group and mFOLFOX6 + CRT group significantly improved the near-term outcome (e.g., pCR rate) in patients with locally advanced rectal cancer with high-risk factors compared with CRT group. The RT + XELOX group also reduced the 3-year distant metastasis rate, increased the 3-year overall survival rate, and did not increase the incidence of perioperative surgical complications. It provides an effective means for the comprehensive treatment of locally advanced rectal cancer and has important clinical guidance and application value.

A Clinician's Guide To Effectively Transitioning and Transferring Care For Pediatric Patients With Inflammatory Bowel Diseases From The Pediatric To Adult Gastroenterologist.

Transition of care for pediatric patients with inflammatory bowel diseases (IBD) is a continuous, dynamic process that takes place over several years with a coordinated approach executed by a multidisciplinary team. We review the concepts, tools, and research in effective transitioning and transfer of care for adolescent/young adult patients with IBD. Given the constraints within the healthcare system, effective transitioning can be challenging to implement in everyday clinical practice. Different barriers include resources and expertise in effective transitioning by pediatric and adult gastroenterology healthcare providers and the impact of non-gastrointestinal issues facing young adult patients who are learning to manage and coordinate all aspects of their medical care and health maintenance. Factors that facilitate successful care transitioning and transfer include structured transitioning programs, utilization of validated transition checklists, and IBD medical summaries. Proactive transitioning by pediatric gastroenterologists in partnership with their emerging young adult patients with IBD leads to better clinical and psychosocial outcomes and ultimately, effective transfer of care to adult gastroenterology. By utilizing utilize comprehensive transition assessment tools and medical summaries in partnership with their patients, pediatric and adult gastroenterology teams can better prepare patients as they transfer to independent care and health maintenance.

Data Sources for use in a Healthcare Interoperability Resources (HL7-FHIR) Platform. A Decision Guide for Clinicians and Data Scientists in Public ICUs

Data Sources for use in a Healthcare Interoperability Resources (HL7-FHIR) Platform. A Decision Guide for Clinicians and Data Scientists in Public ICUs

Diagnosing new-onset asthma in a paediatric clinical trial setting in school-age children.

Asthma is a common chronic disease in children. It is a dynamic condition-symptoms change over time, and the outcome of diagnostic tests can vary. Consequently, evaluating the onset of asthma at a single point in time, perhaps when patients are asymptomatic with limited impairment of the lung function, may result in false diagnostic conclusions. The absence of consistent gold-standard diagnostic criteria in children challenges the ability of any study to ascertain an effect of treatment on asthma prevention. A comprehensive review of the diagnostic criteria used for new-onset asthma in school-age children was conducted based on existing recommendations from published clinical guidance, alongside evidence from paediatric asthma prevention trials. Findings from the review were used to propose suggestions for diagnosing new-onset asthma in future asthma prevention trials. Despite an overall lack of consensus in the published clinical guidance, there are similarities between the various recommendations for diagnosing asthma in children, which typically involve assessing the variable symptoms and supplementing the medical history with objective measures of lung function. For future paediatric asthma prevention trials, we suggest that paediatric clinical trials should use a new-onset asthma definition that incorporates the concepts of "possible", "probable" and "confirmed" asthma. "Possible" asthma would capture self-reported features of chronic symptoms and symptom relief with β2-agonist bronchodilator (suggesting reversibility). "Probable" asthma would include symptom chronicity, self-reported symptom relief with β2-agonist bronchodilator, and objective features of asthma (reversibility or bronchial hyper-responsiveness). A "confirmed" diagnosis would be made only if there is a positive response to controller therapy. These suggestions aim to improve the diagnosis of new-onset childhood asthma in clinical trials, which will be useful in the design and conduct of future paediatric asthma prevention trials.

The validation of aphasia united best practice recommendations with people with aphasia and their caregivers in Vietnam: a nominal group technique study

ABSTRACT Background Speech and language therapy is a relatively new profession in Vietnam and to date, 79 individuals have graduated from Master and Bachelor programs. For the few therapists working with adult populations, clinical guidance tailored to the Vietnamese context is limited. The Aphasia United Best Practice Recommendations were developed to provide multi-national guidance for the management of post-stroke aphasia and have been translated into 29 languages, including Vietnamese. To date however, their applicability to low-middle income countries with emerging speech and language services such as Vietnam has not been explored. Aims To determine the relevance, comprehensibility, and comprehensiveness of the Aphasia United Best Practice Recommendations to people with aphasia and caregivers in Vietnam. Methods and Procedures People with aphasia and their caregivers participated in focus groups, utilising the nominal group technique. Participants were recruited from four hospitals in Ho Chi Minh City. Participants with aphasia were sampled for severity of aphasia, age, sex, time-post onset, geographic location, employment status, and relationship. Participants reviewed the recommendations, rated relevance and comprehensibility (clarity), and made suggestions for improvement. Participants assessed the comprehensiveness of the recommendations and additional items were generated and prioritised. Data were analysed using descriptive statistics and qualitative content analysis. Outcomes and Results People with aphasia (n = 11) and caregivers (n = 17) participated in one of nine focus groups. People with aphasia rated all recommendations as relevant. Levels of agreement varied for caregivers and fell < 85% for one recommendation only (Recommendation 4 – relating to the need for all people with aphasia to have some means of communication prior to discharge). Both participant groups suggested changes to content and wording to reflect the context and culture of Vietnam. Three common themes within the newly proposed recommendations were identified across both participants with aphasia and caregiver groups: (1) easier access to speech and language therapy services and information about aphasia, (2) the need for psychological and social support for people with aphasia and (3) the need for increased community awareness and supports for people with aphasia and their caregivers. Conclusions and Implications The Aphasia United Best Practice Recommendations were perceived to be relevant, however new recommendations reflecting the unique cultural, economic and healthcare environment of Vietnam were identified. Recommendations relating to access to services and community-based rehabilitation were prioritised, supporting the need for continued growth and advocacy for the speech and language therapy profession in Vietnam.

A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging

Radiological follow-up of oncology patients requires the detection of lesions and the quantitative analysis of lesion changes in longitudinal imaging studies of patients, which is time-consuming and requires expertise.We present here a new method and workflow for the analysis and review of lesions and volumetric lesion changes in longitudinal scans of a patient. The generic graph-based method consists of lesion matching, classification of changes in individual lesions, and detection of patterns of lesion changes computed from the properties of the graph and its connected components. The workflow guides clinicians in the detection of missed lesions and wrongly identified lesions in manual and computed lesion annotations using the analysis of lesion changes. It serves as a heuristic method for the automatic revision of ground truth lesion annotations in longitudinal scans.The methods were evaluated on longitudinal studies of patients with three or more examinations of metastatic lesions in the lung (19 patients, 83 CT scans, 1178 lesions), the liver (18 patients, 77 CECT scans, 800 lesions) and the brain (30 patients, 102 T1W-Gad MRI scans, 317 lesions) with ground-truth lesion annotations. Lesion matching yielded a precision of 0.92–1.0 and recall of 0.91–0.99. The classification of changes in individual lesions yielded an accuracy of 0.87–0.97. The classification of patterns of lesion changes yielded an accuracy of 0.80–0.94. The lesion detection review workflow applied to manual and computed lesion annotations yielded 120 and 55 missed lesions and 20 and 164 wrongly identified lesions for all longitudinal studies of patients, respectively.The automatic analysis of lesion changes and review of lesion detection in longitudinal studies of oncological patients helps detect missed lesions and wrongly identified lesions. This method may help improve the accuracy of radiological interpretation and the disease status evaluation.

INCLUSION CYST IN A BABY'S ORAL CAVITY: Clinical case report with a four-month-old patient in the city of Mato Verde - MG

Oral inclusion cysts are benign abnormalities and present spontaneous remission. The lesions have similar clinical characteristics, but have different locations and origins. Therefore, inclusion cysts are classified according to their location as: Epstein's Pearls, Bohn's Nodules and Dental Lamina Cyst. The objective of this study was to report a clinical case of inclusion cysts in the oral cavity of a four-month-old baby. This is a descriptive study, carried out in the municipality of Mato Verde-MG at Faculdade Verde Norte - FAVENORTE. Female patient, Caucasian, four months old, attended the FAVENORTE dental clinic taken by the person in charge, with the following main complaint "My daughter is teething". During intra-oral clinical examination, bilateral changes were observed in the region of primary molars located at the alveolar ridge line, measuring approximately 3 mm in diameter and whitish in color and asymptomatic. The changes are characteristic of Dental Lamina Cysts, the person responsible was reassured after diagnosis and the proposed treatment was quarterly clinical monitoring and guidance with gentle digital massage daily regarding the changes. It is of fundamental importance that professionals know the normal characteristics of the baby's oral cavity, only then will it be possible to reach accurate diagnoses related to changes in the baby's oral cavity, avoiding unnecessary therapeutic procedures.

Robust Ultrafast Projection Pipeline for Structural and Angiography Imaging of Fourier-Domain Optical Coherence Tomography.

The current methods to generate projections for structural and angiography imaging of Fourier-Domain optical coherence tomography (FD-OCT) are significantly slow for prediagnosis improvement, prognosis, real-time surgery guidance, treatments, and lesion boundary definition. This study introduced a robust ultrafast projection pipeline (RUPP) and aimed to develop and evaluate the efficacy of RUPP. RUPP processes raw interference signals to generate structural projections without the need for Fourier Transform. Various angiography reconstruction algorithms were utilized for efficient projections. Traditional methods were compared to RUPP using PSNR, SSIM, and processing time as evaluation metrics. The study used 22 datasets (hand skin: 9; labial mucosa: 13) from 8 volunteers, acquired with a swept-source optical coherence tomography system. RUPP significantly outperformed traditional methods in processing time, requiring only 0.040 s for structural projections, which is 27 times faster than traditional summation projections. For angiography projections, the best RUPP variation took 0.15 s, making it 7518 times faster than the windowed eigen decomposition method. However, PSNR decreased by 41-45% and SSIM saw reductions of 25-74%. RUPP demonstrated remarkable speed improvements over traditional methods, indicating its potential for real-time structural and angiography projections in FD-OCT, thereby enhancing clinical prediagnosis, prognosis, surgery guidance, and treatment efficacy.

Chromosomal abnormalities detected by chromosomal microarray analysis and pregnancy outcomes of 4211 fetuses with high-risk prenatal indications

With the gradual liberalization of the three-child policy and the development of assisted reproductive technology in China, the number of women with high-risk pregnancies is gradually increasing. In this study, 4211 fetuses who underwent chromosomal microarray analysis (CMA) with high-risk prenatal indications were analysed. The results showed that the overall prenatal detection rate of CMA was 11.4% (480/4211), with detection rates of 5.82% (245/4211) for abnormal chromosome numbers and 5.58% (235/4211) for copy number variants. Additionally, the detection rates of clinically significant copy number variants were 3.78% (159/4211) and 1.8% (76/4211) for variants of uncertain significance. The detection rates of fetal chromosomal abnormalities were 6.42% (30/467) for pregnant women with advanced maternal age (AMA), 6.01% (50/832) for high-risk maternal serum screening (MSS) results, 39.09% (224/573) with abnormal non-invasive prenatal testing (NIPT) results, 9.21% (127/1379) with abnormal ultrasound results, and 5.1% (49/960) for other indications. Follow-up results were available for 4211 patients, including 3677 (3677/4211, 87.32%) whose infants were normal after birth, 462 (462/4211, 10.97%) who terminated their pregnancy, 51 (51/4211, 1.21%) whose infants were abnormal after birth, and 21 (21/4211, 0.50%) who refused follow-up. The results of this study demonstrate significant variation in the diagnostic rate of chromosomal microarray analysis across different indications, providing valuable guidance for clinicians to assess the applicability of CMA technology in prenatal diagnosis.

A review of robot-assisted ultrasound examination: Systems and technology.

At present, the number and overall level of ultrasound (US) doctors cannot meet the medical needs, and the medical ultrasound robots will largely solve the shortage of medical resources. According to the degree of automation, the handheld, semi-automatic and automatic ultrasound examination robot systems are summarised. Ultrasound scanning path planning and robot control are the keys to ensure that the robot systems can obtain high-quality images. Therefore, the ultrasound scanning path planning and control methods are summarised. The research progress and future trends are discussed. A variety of ultrasound robot systems have been applied to various medical works. With the continuous improvement of automation, the systems provide high-quality ultrasound images and image guidance for clinicians. Although the development of medical ultrasound robot still faces challenges, with the continuous progress of robot technology and communication technology, medical ultrasound robot will have great development potential and broad application space.

Development and validation of a neoadjuvant chemotherapy pathological complete remission model based on Reg IV expression in breast cancer tissues: a clinical retrospective study

ObjectiveTo develop and authenticate a neoadjuvant chemotherapy (NACT) pathological complete remission (pCR) model based on the expression of Reg IV within breast cancer tissues with the objective to provide clinical guidance for precise interventions.MethodData relating to 104 patients undergoing NACT were collected. Variables derived from clinical information and pathological characteristics of patients were screened through logistic regression, random forest, and Xgboost methods to formulate predictive models. The validation and comparative assessment of these models were conducted to identify the optimal model, which was then visualized and tested.ResultFollowing the screening of variables and the establishment of multiple models based on these variables, comparative analyses were conducted using receiver operating characteristic (ROC) curves, calibration curves, as well as net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Model 2 emerged as the most optimal, incorporating variables such as HER-2, ER, T-stage, Reg IV, and Treatment, among others. The area under the ROC curve (AUC) for Model 2 in the training dataset and test dataset was 0.837 (0.734–0.941) and 0.897 (0.775–1.00), respectively. Decision curve analysis (DCA) and clinical impact curve (CIC) further underscored the potential applications of the model in guiding clinical interventions for patients.ConclusionThe prediction of NACT pCR efficacy based on the expression of Reg IV in breast cancer tissue appears feasible; however, it requires further validation.

Guideline recommendations on the role of the general practitioner in the diagnosis of dementia: a protocol for a scoping review of clinical practice guidelines

Introduction A timely diagnosis of dementia offers the opportunity of earlier intervention and activation of coordinated care plans. General Practitioners (GPs) play a key role in dementia diagnosis, from symptom recognition to clinical assessment, investigation, diagnosis and onward referral for confirmation of the diagnosis and subtyping. Dementia clinical practice guidelines (CPGs) offer clinicians guidance on dementia care but often do not specifically address the role of the GP in the diagnostic process. This protocol outlines a scoping review to identify evidence-based dementia clinical practice guidelines and map the recommended role of GPs in the diagnosis of dementia. Method The scoping review will be conducted using the Arksey and O'Malley framework, and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews (PRISMA-ScR) will be used to guide the reporting. We will search five electronic databases (PubMed, CINAHL, Embase, PsycINFO, Cochrane Library) for dementia CPGs published since 2019. CPGs are often not published in peer-reviewed journals; therefore, a parallel search of relevant grey literature will be conducted. We will also search the websites of GP professional organisations and guideline developers. Two reviewers will independently screen all articles based on inclusion criteria, with conflicts resolved by a third reviewer. Conclusion This scoping review will examine up-to-date dementia CPGs to determine recommendations for the role of GPs in the assessment, investigation, diagnosis and onward referral of patients with suspected dementia to secondary care.

Medical traumatic stress: Integrating evidence-based clinical applications from health and trauma psychology.

Medical events in both childhood and adulthood, including components of the illness or injury and subsequent medical intervention, recovery, and disability, are increasingly being recognized as potentially traumatic. There has been an increased focus on scholarly work related to medical trauma and medically induced posttraumatic stress disorder (PTSD). Existing evidence suggests that trauma-focused treatment can promote both physical and psychological recovery. However, there continues to be a dearth of clinical guidance on how to (a) best identify and treat prior trauma exposure that complicates adjustment to illness and increases the risk for medically induced PTSD and (b) address medically induced PTSD while concurrently targeting health-related concerns (e.g., pain, adjustment to illness, acquired disability) that may negatively impact recovery. Originally presented as a premeeting institute at the 2023 Annual Meeting of the International Society for Traumatic Stress Studies, this paper describes the biopsychosocial impacts of medical trauma on adults and considerations for assessment and intervention in both traditional trauma and integrated care settings. This includes clinical applications, including assessment, case conceptualization, and health and rehabilitation interventions, that can promote health-related adjustment and coping within the context of trauma-focused treatment.

Predictors of Toxic Metal/Metalloid Exposures Among Mexican Americans in Starr County, Texas.

Arsenic, cadmium, and lead are toxic elements that widely contaminate our environment. These toxicants are associated with acute and chronic health problems, and evidence suggests that minority communities, including Hispanic/Latino Americans, are disproportionately exposed. Few studies have assessed culturally specific predictors of exposure to understand the potential drivers of racial/ethnic exposure disparities. We sought to evaluate acculturation measures as predictors of metal/metalloid (hereafter "metal") concentrations among Mexican American adults to illuminate potential exposure sources that may be targeted for interventions. As part of a longitudinal cohort, 510 adults, aged 35 to 69years, underwent baseline interview, physical examination, and urine sample collection. Self-reported acculturation was assessed across various domains using the Short Acculturation Scale for Hispanics (SASH). Multivariable linear regression was used to assess associations between acculturation and urinaryconcentrations of arsenic, cadmium, and lead. Ordinal logistic regression was utilized to assess associations between acculturation and a metal mixture score. Lastly, best subset selection was used to build a prediction model for each toxic metal with a combination of the acculturation predictors. After adjustment, immigration factors were positively associated with arsenic and lead concentrations. For lead alone, English language and American media and food preferences were associated with lower levels. Immigration and parental heritage from Mexico were positively associated with the metal mixture, while preferences for English language, media, and food were negatively associated. Acculturation-related predictors of exposure provide information about potential sources of toxic metals, including international travel, foods, and consumer products. The findings in this research study provide information to empower future efforts to identify and address specific acculturation-associated toxicant exposures in order to promote health equity through clinical guidance, patient education, and public policy.