Measurement proprieties of the CROM instrument for assessing head posture, neck retraction and protraction.

BACKGROUND: The CROM instrument is widely used clinically and in research to measure neck range of motion. However, its measurement proprieties during the assessment of protraction and retraction movements were not examined so far. OBJECTIVE: To analyse the intra- and inter-rater reliability, the concurrent validity of the CROM for measuring head posture, retraction and protraction in healthy subjects. METHODS: Thirty-three asymptomatic subjects were recruited and assigned in a random order to one of two raters. After a 10-min break, they were examined by a second rater (Assessment 1). After a 30-min break, both raters repeated the examination (Assessment 2). The examination consisted of measuring the head posture, maximum head protraction and maximum retraction. Each movement was repeated 3 times and measured simultaneously with the CROM and with a 3D capture system laboratory. RESULTS: The intra-rater reliability of the CROM was excellent for both raters for head posture and all head movements (ICC>0.9, 95% CI: 0.82-0.99, p < 0.01). The inter-rater reliability was excellent for head posture (ICC>0.95, 95% CI: 0.92-0.98, p < 0.01) and good-to-excellent for all movements at both time-points (ICC = 0.73-0.98, 95%CI: 0.45-0.99, p < 0.01). The validity analysis showed moderate-to-strong correlation between instruments for the head posture and head movements [(r) = -0.47 to -0.78), 95% CI: 0.99 to -0.24, p < 0.01]. CONCLUSION: The CROM instrument has good-to-excellent reliability and adequate validity for measuring cervical position and displacement in the sagittal plane.

A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population.

Introduction: An easily accessible and cost-free machine learning model based on prior probabilities of vascular aging enables an application to pinpoint high-risk populations before physical checks and optimize healthcare investment. Methods: A dataset containing questionnaire responses and physical measurement parameters from 77,134 adults was extracted from the electronic records of the Health Management Center at the Third Xiangya Hospital. The least absolute shrinkage and selection operator and recursive feature elimination-Lightweight Gradient Elevator were employed to select features from a pool of potential covariates. The participants were randomly divided into training (70%) and test cohorts (30%). Four machine learning algorithms were applied to build the screening models for elevated arterial stiffness (EAS), and the performance of models was evaluated by calculating the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy. Results: Fourteen easily accessible features were selected to construct the model, including "systolic blood pressure" (SBP), "age," "waist circumference," "history of hypertension," "sex," "exercise," "awareness of normal blood pressure," "eat fruit," "work intensity," "drink milk," "eat bean products," "smoking," "alcohol consumption," and "Irritableness." The extreme gradient boosting (XGBoost) model outperformed the other three models, achieving AUC values of 0.8722 and 0.8710 in the training and test sets, respectively. The most important five features are SBP, age, waist, history of hypertension, and sex. Conclusion: The XGBoost model ideally assesses the prior probability of the current EAS in the general population. The integration of the model into primary care facilities has the potential to lower medical expenses and enhance the management of arterial aging.

Clinical Evaluation of the Adult with Eosinophilic Esophagitis.

Adult patients with eosinophilic esophagitis (EoE) typically present with a history of dysphagia for solids, sometimes with additional reflux-like pain and a history of prior food impactions. In contrast to these alarming symptoms, the general appearance and physical examination of adult patients with EoE is in line with apparently healthy individuals. Therefore, the diagnosis is based on a history of solid-food dysphagia and eosinophilic tissue infiltration. Importantly, the increasing prevalence of EoE variants, that is, typical EoE symptoms in the absence of a relevant eosinophilia, and several studies with eosinophil-targeting drugs, call the pathogenic role of eosinophils into question.

Importance of Patient History in Artificial Intelligence-Assisted Medical Diagnosis: Comparison Study.

Background: Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician's confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first proposed more than 70 years ago. Recently, its role in various fields of medicine has grown remarkably. However, no studies have evaluated the importance of patient history in AI-assisted medical diagnosis. Objective: This study explored the contribution of patient history to AI-assisted medical diagnoses and assessed the accuracy of ChatGPT in reaching a clinical diagnosis based on the medical history provided. Methods: Using clinical vignettes of 30 cases identified in The BMJ, we evaluated the accuracy of diagnoses generated by ChatGPT. We compared the diagnoses made by ChatGPT based solely on medical history with the correct diagnoses. We also compared the diagnoses made by ChatGPT after incorporating additional physical examination findings and laboratory data alongside history with the correct diagnoses. Results: ChatGPT accurately diagnosed 76.6% (23/30) of the cases with only the medical history, consistent with previous research targeting physicians. We also found that this rate was 93.3% (28/30) when additional information was included. Conclusions: Although adding additional information improves diagnostic accuracy, patient history remains a significant factor in AI-assisted medical diagnosis. Thus, when using AI in medical diagnosis, it is crucial to include pertinent and correct patient histories for an accurate diagnosis. Our findings emphasize the continued significance of patient history in clinical diagnoses in this age and highlight the need for its integration into AI-assisted medical diagnosis systems.

Validity and reliability of outcome measures to assess dysfunctional breathing: a systematic review.

OBJECTIVE: This study aimed to systematically review the psychometric properties of outcome measures that assess dysfunctional breathing (DB) in adults. METHODS: Studies on developing and evaluating measurement properties to assess DB were included. The study investigated the empirical research published between 1990 and February 2022, with an updated search in May 2023 in the Cochrane Library database of systematic reviews and the Cochrane Central Register of Controlled Trials, the Ovid Medline (full), the Ovid Excerta Medica Database, the Ovid allied and complementary medicines database, the Ebscohost Cumulative Index to Nursing and Allied Health Literature and the Physiotherapy Evidence Database. The included studies' methodological quality was assessed using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) risk of bias checklist. Data analysis and synthesis followed the COSMIN methodology for reviews of outcome measurement instruments. RESULTS: Sixteen studies met the inclusion criteria, and 10 outcome measures were identified. The psychometric properties of these outcome measures were evaluated using COSMIN. The Nijmegen Questionnaire (NQ) is the only outcome measure with 'sufficient' ratings for content validity, internal consistency, reliability and construct validity. All other outcome measures did not report characteristics of content validity in the patients' group. DISCUSSION: The NQ showed high-quality evidence for validity and reliability in assessing DB. Our review suggests that using NQ to evaluate DB in people with bronchial asthma and hyperventilation syndrome is helpful. Further evaluation of the psychometric properties is needed for the remaining outcome measures before considering them for clinical use. PROSPERO REGISTRATION NUMBER: CRD42021274960.

Accuracy of physical examination versus Doppler ultrasonography for determining maturity in postoperative arteriovenous fistula formation.

BACKGROUND: Differentiating between arteriovenous fistula (AVF) maturation and failure can help determine which AVF will undergo successful canulation and which ones will require immediate rescue. METHODS: A prospective observational study was conducted at Vajira Hospital in Bangkok, Thailand, between October 2020-November 2022. A single vascular surgeon performed a physical examination on patients with chronic kidney disease undergoing AVF placement, and a radiologist conducted Doppler ultrasonography during the second and sixth postoperative weeks. Dialysis nurses determined AVF maturity by performing cannulation. The study compared the accuracy of physical examination and Doppler ultrasonography. A model was developed to predict the success of AVF use. RESULTS: Out Of the 125 recruited patients, 81% demonstrate unassisted maturation of their AVF. The male sex and brachiocephalic type are associated with AVF maturation. The physical examination findings of palpable thrill and the absence of a strong pulse at the 6th week show an area under the receiver operating curve (AUC) value of 0.79. Similarly, arterial end-diastolic velocity on ultrasonography at the 6th week also demonstrates a comparable predictive value with an AUC of 0.82 (p = 0.697). Meanwhile, the model that combined end-diastolic velocity and venous volume flow yields the best results for predicting AVF maturation, with an AUC of 0.92. These models provide more accurate predictions compared to physical examination alone (AUC: 0.92 vs. 0.79; p < 0.01). CONCLUSION: Although a prudent physician predicts AVF maturation through a thorough physical examination, Doppler ultrasonography is preferred in anticipating the success of postoperative AVF placement.

Abdominal physical examinations in early stages benefit critically ill patients without primary gastrointestinal diseases: a retrospective cohort study.

Background: Gastrointestinal (GI) function is critical for patients in intensive care units (ICUs). Whether and how much critically ill patients without GI primary diseases benefit from abdominal physical examinations remains unknown. No evidence from big data supports its possible additive value in outcome prediction. Methods: We performed a big data analysis to confirm the value of abdominal physical examinations in ICU patients without GI primary diseases. Patients were selected from the Medical Information Mart for Intensive Care (MIMIC)-IV database and classified into two groups depending on whether they received abdominal palpation and auscultation. The primary outcome was the 28-day mortality. Statistical approaches included Cox regression, propensity score matching, and inverse probability of treatment weighting. Then, the abdominal physical examination group was randomly divided into the training and testing cohorts in an 8:2 ratio. And patients with GI primary diseases were selected as the validation group. Several machine learning algorithms, including Random Forest, Gradient Boosting Decision Tree, Adaboost, Extra Trees, Bagging, and Multi-Layer Perceptron, were used to develop in-hospital mortality predictive models. Results: Abdominal physical examinations were performed in 868 (2.63%) of 33,007 patients without primary GI diseases. A significant benefit in terms of 28-day mortality was observed among the abdominal physical examination group (HR 0.75, 95% CI 0.56-0.99; p = 0.043), and a higher examination frequency was associated with improved outcomes (HR 0.62, 95%CI 0.40-0.98; p = 0.042). Machine learning studies further revealed that abdominal physical examinations were valuable in predicting in-hospital mortality. Considering both model performance and storage space, the Multi-Layer Perceptron model performed the best in predicting mortality (AUC = 0.9548 in the testing set and AUC = 0.9833 in the validation set). Conclusion: Conducting abdominal physical examinations improves outcomes in critically ill patients without GI primary diseases. The results can be used to predict in-hospital mortality using machine learning algorithms.

Rotator Cuff Tears: Correlation Between Clinical Examination, Magnetic Resonance Imaging and Arthroscopy.

Background Arthroscopy in diagnosing a rotator cuff injury has surgical and anaesthesia-related risks. Magnetic resonance imaging (MRI), a non-invasive procedure, is expensive, and lacks dynamic components making it less favourable. Clinical examination narrows the diagnosis, but lacks diagnostic accuracy due to overlap of clinical signs and symptoms. We aimed to determine the diagnostic accuracy of clinical examination and MRI in rotator cuff tears by correlating it with arthroscopy. Methods This prospective, cross-sectional validation study included patients (N=28) with shoulder pain with clinical characteristics suggestive of rotator cuff tears. Clinical diagnoses and MRI were done preoperatively, following which each patient underwent arthroscopic surgery. Shoulder arthroscopy findings were correlated with those of clinical examination and MRI. Results The mean age of patients was 50.21±9.66 years, with 60.71% being males. Clinical examination was 100% sensitive and 73.8% specific for detecting rotator cuff tears. MRI was 92.85% sensitive and 98.8% specific in detecting rotator cuff tears. Shoulder MRI demonstrated a higher agreement with arthroscopy than clinical results for subscapularis, supraspinatus, infraspinatus, teres, and biceps tendon appearance. Conclusion MRI results in identifying rotator cuff pathologies are comparable with arthroscopy. Clinical examination findings are variable due to an examiner's bias and therefore its diagnostic scope is limited. However, clinical examination with MRI together might accurately identify the rotator cuff injury.

Ultrasound in addition to clinical assessment of acute musculoskeletal complaints in bleeding disorders: impact on patient management.

Background: Ultrasound is increasingly used for musculoskeletal assessment in hemophilia care. Objectives: To evaluate the impact of point-of-care ultrasound added to clinical assessment for diagnosis and treatment of acute musculoskeletal episodes in a heterogeneous cohort of children and adults with hemophilia and von Willebrand disease (VWD). Methods: This prospective cross-sectional study consecutively included children and adults with hemophilia or VWD who visited the outpatient clinic with acute musculoskeletal complaints between March 2020 and May 2023. For all episodes, initial diagnosis and treatment determined by clinical assessment were recorded on a case report form. Subsequently, a physiotherapist (M.A.T. and J.B.) with knowledge of the clinical diagnosis performed point-of-care ultrasound. After ultrasound, updated diagnosis and treatment were recorded. Diagnosis and treatment before and after ultrasound were compared, and proportions of change with 95% CIs were determined. Results: We evaluated 77 episodes in 67 patients (median age, 24 years; IQR, 13-42 years). Before ultrasound, 37 joint bleeds, 13 muscle bleeds, and 27 other diagnoses were diagnosed. After ultrasound, 33 joint bleeds, 11 muscle bleeds, and 33 other diagnoses were confirmed. The diagnosis changed in 28 of 77 episodes (36%; 95% CI, 26%-48%). Nine joint bleeds and 2 muscle bleeds were missed by clinical assessment. Ultrasound findings changed treatment strategy in 30 of 77 episodes (39%; 95% CI, 28%-51%). Conclusion: Ultrasound in addition to clinical assessment of acute musculoskeletal complaints in people with hemophilia and VWD has an impact on diagnosis (36%) and treatment (39%), which supports the use of ultrasound in acute musculoskeletal complaints in hemophilia and VWD.

Risk Prediction of Diabetes Progression Using Big Data Mining with Multifarious Physical Examination Indicators.

Purpose: The purpose of this study is to explore the independent-influencing factors from normal people to prediabetes and from prediabetes to diabetes and use different prediction models to build diabetes prediction models. Methods: The original data in this retrospective study are collected from the participants who took physical examinations in the Health Management Center of Peking University Shenzhen Hospital. Regression analysis is individually applied between the populations of normal and prediabetes, as well as the populations of prediabetes and diabetes, for feature selection. Afterward,the independent influencing factors mentioned above are used as predictive factors to construct a prediction model. Results: Selecting physical examination indicators for training different ML models through univariate and multivariate logistic regression, the study finds Age, PRO, TP, and ALT are four independent risk factors for normal people to develop prediabetes, and GLB and HDL.C are two independent protective factors, while logistic regression performs best on the testing set (Acc: 0.76, F-measure: 0.74, AUC: 0.78). We also find Age, Gender, BMI, SBP, U.GLU, PRO, ALT, and TG are independent risk factors for prediabetes people to diabetes, and AST is an independent protective factor, while logistic regression performs best on the testing set (Acc: 0.86, F-measure: 0.84, AUC: 0.74). Conclusion: The discussion of the clinical relationships between these indicators and diabetes supports the interpretability of our feature selection. Among four prediction models, the logistic regression model achieved the best performance on the testing set.

Feasibility and performance of the chronic obstructive pulmonary disease population screener and chronic obstructive pulmonary disease screening questionnaire in a Chinese physical examination center.

Background: Chronic obstructive pulmonary disease (COPD) affects up to 13% of the Chinese population, though it is under diagnosed throughout China. Screening among asymptomatic individual as part of routine health checks in China can facilitate early diagnosis and intervention to prevent disease progress. The COPD Population Screener (COPD-PS) or COPD Screening Questionnaire (COPD-SQ) has yet to be applied in Chinese physical examination centers (PECs) for COPD screening, and their feasibility and effectiveness should be clarified before full-scale implementation. This study is the first to apply the COPD-PS and COPD-SQ in a public hospital PEC in China to assess their feasibility and effectiveness and to identify their optimal cutoff values. Methods: People aged ≥40 years who attended the Second Affiliated Hospital of Shantou University PECs from September 2021 to December 2022 were asked to complete the COPD-PS and COPD-SQ and to undergo spirometry. The optimal cutoff values of the two questionnaires at the maximal Youden index were found, and the sensitivity and specificity were calculated. Results: Data from 198 participants were analyzed; mean [standard deviation (SD)] age of patients was 63.52 (10.94) years. Twenty-five participants (12.63%) were diagnosed with COPD. The number of COPD patients classified as Global Initiative for Chronic Obstructive Lung Disease (GOLD) grades 1 to 4 were 8, 12, 4, and 1, respectively. The area under the curves (AUCs) of the COPD-PS and COPD-SQ were 0.730 and 0.738, respectively. The optimal COPD-PS cutoff value of 4 points corresponded to a sensitivity of 72.00% and a specificity of 60.10%. The COPD-SQ optimal cutoff value of 15 points corresponded to a sensitivity of 76.00% and a specificity of 63.60%. Conclusions: Applying the COPD-PS and COPD-SQ in Chinese PECs is feasible, cost-effective and effective. COPD-PS and COPD-SQ can facilitate the early diagnosis of COPD, and whether they can improve the participants' quality of life would benefit a further study. It is recommended that the COPD-PS or COPD-SQ questionnaires be added to the screening of the physical examination program in PECs as part of health checks for people over 40 years old.

World Endometriosis Research Foundation Endometriosis Phenome and Biobanking Harmonization Project: V. physical examination standards in endometriosis research.

OBJECTIVE: The World Endometriosis Research Foundation (WERF) established the Endometriosis Phenome and Biobanking Harmonisation Project (EPHect) to create standardized documentation tools (with common data elements) to facilitate the comparison and combination of data across different research sites and studies. In 2014, four data research standards were published: clinician-reported surgical data, patient-reported clinical data, and fluid and tissue biospecimen collection. Our current objective is to create an EPHect standard for the clinician-reported physical examination (EPHect-PE) for research studies. DESIGN: An international consortium involving 26 clinical and academic experts and patient partners from 11 countries representing 25 institutions and organizations. Two virtual workshops, followed by the development of the physical examination standards that underwent multiple rounds of iterations and revisions. SUBJECTS: N/A MAIN OUTCOME MEASURE(S): N/A RESULT(S): The EPHect physical examination (EPHect-PE) tool provides standardised assessment of physical examination characteristics and pain phenotyping. Data elements involve examination of a) back and pelvic girdle; b) abdomen including allodynia and trigger points; c) vulva including provoked vestibulodynia; d) pelvic floor muscle tone and tenderness; e) tenderness on unidigital pelvic exam; f) presence of pelvic nodularity; g) uterine size and mobility; h) presence of adnexal masses; i) presence of incisional masses; j) speculum examination; k) tenderness and allodynia at an extra-pelvic site (e.g. forearm); and l) recording of anthropometrics. CONCLUSION(S): The EPHect physical examination standards (EPHect-PE) will facilitate the standardised documentation of the physical examination, including the assessment and documentation of examination phenotyping of endometriosis-associated pelvic pain.

Core and cluster or head to toe?: a comparison of two types of curricula for teaching physical examination skills to preclinical medical students.

BACKGROUND: Despite the central importance of physical examination (PE) skills to patient evaluation, early trainees struggle with its correct application and interpretation. This struggle may reflect the instructional strategies of PE courses which have largely ignored the clinical reasoning necessary to accurately apply these skills. The "core + cluster" (C + C) is a recent approach to teaching PE to clerkship-level medical students that combines a basic 'core' exam with 'cluster' based on the student's hypothesis about their patient's clinical presentation. Our institution developed a novel C + C curriculum to teach PE to preclinical students. We aimed to assess the impact of this new curriculum on students' clinical skills and course evaluations in comparison to the traditional "head-to-toe" approach we'd used previously. METHODS: This was a retrospective study comparing two consecutive medical school cohorts exposed to the new (C + C) and prior (HTT) curricula respectively. We studied two complete cohorts of first-year medical students at our institution who matriculated in 2014 and 2015. The 2014 cohort received PE training via an HTT approach. The 2015 cohort received PE training via a C + C approach. Outcomes included performance scores on a statewide clinical performance exam (CPX) and student course evaluations. RESULTS: We found no statistically significant difference in mean CPX scores between the two cohorts. However, student course ratings were significantly higher in the C + C cohort and students rated the C + C format as highly useful in clinical encounters. CONCLUSIONS: The C + C curriculum appears to be as effective a method of teaching PE to preclinical students as the HTT approach and is better received by students. We believe that this approach more appropriately reflects the way PE is used in clinical encounters and may help students with diagnostic hypothesis generation.

Comparison between Ultrasound-Guided and Palpatory Localization of the Dorsal Joint Space of the Shoulder Joint.

AIM OF THE STUDY: Arthroscopy ranks among the frequently performed interventions in orthopedics. The aim of this study was to compare the palpation technique with the ultrasound technique for locating the dorsal glenohumeral joint space (JS) in shoulder joint punctures. MATERIAL AND METHODS: Participants inexperienced in ultrasound examinations were included. Palpatory and ultrasound finding of the joint space by the participants was performed according to current recommendations and was initially demonstrated by an instructional video. The ideal point (IP) was marked under ultrasound visualization by an experienced ultrasound examinator and shoulder-elbow surgeon. Furthermore, a corridor for a safe puncture was defined. The palpatorily determined point (pdP) was marked by the participants and evaluated by means of a coordinate system. The evaluation of the sonographically determined point (sdP) was performed similarly to that of the palpatory procedure. RESULTS: Fifty-four participants were included in the study, and the mean length of work experience was 6.3 years. On average, participants had performed 16.5 punctures of the shoulder joint and 6.8 arthroscopies of the shoulder joint. The mean experience in performing sonographic examinations of the shoulder was 27.6 examinations. A total of 100 shoulder joints were examined (54 left, 46 right shoulders). The mean deviation from the ideal point (IP) for the palpatory approach was 17.1 mm with a maximum deviation of 59.5 mm; for the sonographic technique, the mean deviation was 10.3 mm (max. 30.2 mm). Overall, 22% of pdPs were within the defined corridor, while 42% of sdPs were within the target corridor. The average difference between palpatory and sonographic approaches was 9.0 mm in favor of the sonographic technique (max. 46.5 mm). A significantly greater deviation (p < 0.001) from the IP was observed with the palpatory approach than with the sonographic approach. CONCLUSION: Based on the results, the authors recommend ultrasound imaging of the shoulder joint as well as ultrasound-assisted punctures, especially for inexperienced users. Furthermore, training in ultrasound-assisted interventions should be implemented in future training curricula.

Dobutamine-Induced Myoclonus in a Patient With Advanced Heart Failure and Chronic Kidney Disease.

Dobutamine is a positive inotropic agent often used in treatment of cardiogenic shock. Although there are well-documented adverse effects, dobutamine-induced myoclonus is a rarely reported phenomenon. Our case offers a direct and temporally related description of myoclonus, with onset observed within hours of dobutamine initiation and complete resolution within minutes of discontinuation.

Acceptance of peer physical examination in medical students in Wuhan, China: A cross-sectional study.

Background: Peer physical examination (PPE) is an essential part of the education of medical students. This study aimed to assess the acceptance level of PPE in Chinese society as well as other related factors. While there have been numerous studies on PPE acceptance in Western societies, there have been relatively few studies on this topic in China. Methods: A questionnaire was distributed via social media to clinical-year medical students in China. With 1890 students participating overall, the response rate was 86.9%. The questionnaire collected demographic information and previous experience with PPE, and utilized a 5-point Likert scale to assess acceptance of PPE and factors influencing it. Results: One thousand six hundred and forty-four percent of Chinese medical students accepted PPE, with 13% rejecting it and 19% neutral. Males were more accepting of PPE than females, and females were less accepting of being examined by someone of the opposite gender. The groin/thigh and breast areas were the most rejected for examination. There were no significant differences in acceptance rates between universities or academic performance groups. However, society had a significant impact on the acceptance of PPE. Conclusions: With a 67% acceptance rate of PPE among Chinese medical students, it could be considered a viable alternative to absent life models in Chinses universities. However, implementing PPE may come with its own set of difficulties, so it is recommended that a supervisor is present and that single-gender groups are formed, with friends paired together if possible.

The individuals' awareness and adoption of electronic health records in China: a questionnaire survey of 1,337 individuals.

BACKGROUND: Electronic health records (EHRs) are digital records of individual health information. However, their adoption and utilization remain low. This study explores the factors influencing the implementation of EHRs through a questionnaire survey to enhance individual awareness and adoption of EHRs. METHODS: A questionnaire and an expert rating scale were developed sequentially, and the consistency of the scores from five experts was calculated using Kendall's W to generate a final questionnaire. A non-parametric test was utilized to analyze differences in continuous data that did not follow a normal distribution. Categorical variables were expressed as percentages (%), the chi-square test was employed for group comparisons, and multiple logistic regression was implemented to assess individuals' awareness and adoption of EHRs. RESULTS: In total, 1,341 survey questionnaires were distributed between January and December 2022, with 1,337 valid responses (99.7%). The results indicated that the proportion of participants who were aware of EHRs and had a bachelor's degree or higher education, an income of ≥$700 per month, residence in urban areas, possessed self-care abilities, and underwent annual physical examinations was significantly higher than that without awareness of EHRs (P < 0.05), while in hearing problems and walking abilities was markedly lower than that of participants without awareness of EHRs (P < 0.05). Additionally, the proportion of individuals willing to self-manage EHRs was significantly higher than those reluctant to do so (P < 0.05) among participants with a bachelor's degree or higher education, an income of ≥$700 per month, residence in urban areas, possession of self-care abilities, annual physical examinations, hearing problems, and poor walking abilities. Age (Odds Ratio [OR] = 1.104, 95% Confidence Interval [CI] 1.001-1.028, P = 0.033), hearing problems (OR = 0.604, 95% CI 0.377-0.967, P = 0.036), self-care ability (OR = 5.881, 95% CI 1.867-18.529, P = 0.002), and annual physical examinations (OR = 3.167, 95% CI 2.31-4.34, P < 0.001) were independently associated with willingness to self-manage EHRs. Annual physical examination (OR = 2.507, 95%CI 1.585-2.669, P < 0.001) also independently made a difference to the awareness of EHRs. CONCLUSIONS: Our findings suggest that annual physical examinations, age, hearing problems, and self-care abilities are significant factors in assessing individuals' awareness and adoption of EHRs. Understanding the characteristics of individuals who are aware of or are willing to take advantage of EHRs plays a positive role in promoting their popularization and application.

Machine learning-based predictive model for abdominal diseases using physical examination datasets.

Abdominal ultrasound is a key non-invasive imaging method for diagnosing liver, kidney, and gallbladder diseases, despite its clinical significance, not all individuals can undergo abdominal ultrasonography during routine health check-ups due to limitations in equipment, cost, and time. This study aims to use basic physical examination data to predict the risk of diseases of the liver, kidney, and gallbladder that can be diagnosed via abdominal ultrasound. Basic physical examination data contain gender, age, height, weight, BMI, pulse, systolic blood pressure (SBP), diastolic blood pressure (DBP), high-density lipoprotein (HDL), low-density lipoprotein (LDL), total cholesterol, triglycerides, fasting blood glucose (FBG), and uric acid-we established seven single-label predictive models and one multi-label predictive model. These models were specifically designed to predict a range of abdominal diseases. The single-label models, utilizing the XGBoost algorithm, targeted diseases such as fatty liver (with an Area Under the Curve (AUC) of 0.9344), liver deposits (AUC: 0.8221), liver cysts (AUC: 0.7928), gallbladder polyps (AUC: 0.7508), kidney stones (AUC: 0.7853), kidney cysts (AUC: 0.8241), and kidney crystals (AUC: 0.7536). Furthermore, a comprehensive multi-label model, capable of predicting multiple conditions simultaneously, was established by FCN and achieved an AUC of 0.6344. We conducted interpretability analysis on these models to enhance their understanding and applicability in clinical settings. The insights gained from this analysis are crucial for the development of targeted disease prevention strategies. This study represents a significant advancement in utilizing physical examination data to predict ultrasound results, offering a novel approach to early diagnosis and prevention of abdominal diseases.

Temporal dynamic effects of meteorological factors and air quality on the physical health of the older adults in Shenzhen, China.

Introduction: Meteorological and environmental factors can affect people's lives and health, which is crucial among the older adults. However, it is currently unclear how they specifically affect the physical condition of older adults people. Methods: We collected and analyzed the basic physical examination indicators of 41 older adults people for two consecutive years (2021 and 2022), and correlated them with meteorological and environmental factors. Partial correlation was also conducted to exclude unrelated factors as well. Results: We found that among the physical examination indicators of the older adults for two consecutive years, five indicators (HB, WBC, HbAlc, CB, LDL-C) showed significant differences across the population, and they had significantly different dynamic correlation patterns with six meteorological (air pressure, temperature, humidity, precipitation, wind speed, and sunshine duration) and seven air quality factors (NO2, SO2, PM10, O3-1h, O3-8h, CO, PM2.5). Discussion: Our study has discovered for the first time the dynamic correlation between indicators in normal basic physical examinations and meteorological factors and air quality indicators, which will provide guidance for the future development of policies that care for the healthy life of the older adults.