Physician Diagnosis Research Articles

Association between stimulant and non-stimulant ADHD medications and completed suicide in adolescents and adults: A population-based nested case-control study.

ADHD has been linked to an increased risk of completed suicide. The aim of this study was to assess the relationship between ADHD medication use and completed suicide. This nested case-control study included individuals aged 12-49 in Quebec, Canada, diagnosed with ADHD and/or dispensed ADHD medication. Suicide cases (n = 472) between 2000 and 2021 were matched with 5 controls each (n = 2360) on date of birth, sex, and continuous public drug insurance coverage for at least 365 days before suicide death (index date). Multivariable conditional logistic regression was used to estimate the association between ADHD medication use and completed suicide. The association between specific ADHD medication types and completed suicide was also assessed. After controlling for potential confounders, no significant association was found between ADHD medication use and completed suicide in the overall sample, in individuals aged 12-24 and 25 to 49 years, and those with a prior ADHD physician diagnosis. No significant differences were found when comparing the use of non-stimulants only (aOR 1.27; 95 % CI: 0.62, 2.63), stimulants and non-stimulants (aOR 1.01; 95 % CI: 0.33, 3.08), and ADHD consultation without medication (aOR 0.94; 95 % CI: 0.69, 1.28) against stimulant-only use. Both stimulants and non-stimulants were not associated with the risk of completed suicide. These findings can inform clinical decision-making.

Prevalence and associations of self-reported sleep problems in a large sample of patients with Parkinson's disease.

Sleep problems are important comorbid features of, and risk factors for, neurodegenerative diseases such as Parkinson's disease (PD). To assess the prevalence and associations of sleep problems in patients with PD we analysed data from almost 54,000 participants in the Fox Insight study, including data from 38,588 patients with PD. Sleep problems are common in PD, with ~84% of respondents with PD reporting difficulty falling or staying asleep. Experiences of insomnia, restless leg syndrome, vivid dreams, acting out dreams, and the use of sleep medication are over-represented in patients with PD compared with matched healthy controls. Male sex and PD onset before the age of 50 were also associated with a greater risk of sleep problems. A physician diagnosis of insomnia was associated with more symptoms of depression, impairment of cognition-dependent independence, and a lower quality of life. Sleep problems were also associated with a higher prevalence of OFF periods compared with PD patients without sleep problems. 6.7% of PD patients endorsed sleep complaints as their most bothersome symptom, and reported non-specific poor sleep quality as the most common sleep problem. These patients also had a better quality of life and lower depression and cognitive impairments than patients for whom postural instability was their most bothersome symptom, indicating the relative burden of sleep problems is contextualised by the severity of motor symptoms. Overall, these findings reinforce the high prevalence of sleep problems in a very large sample of PD patients, and indicate important associations of sleep problems with daily function and quality of life in PD.

Association between weight-adjusted-waist index and long-term prognostic outcomes in cardiovascular disease patients: results from the NHANES 1999–2018 study

BackgroundAs cardiovascular disease (CVD) morbidity and mortality increase yearly, this study aimed to explore the potential of the weight-adjusted-waist index (WWI) and its relation to long-term mortality in patients with CVD.MethodsThe diagnosis of CVD was based on standardized medical condition questionnaires that incorporated participants’ self-reported physician diagnoses. WWI (cm/√kg) is a continuous variable and calculated as waist circumference (WC, cm) divided by square root of body weight (kg). For analysis purposes, the participants were divided into four groups based on the quartiles (Q1 – Q4) of the WWI. The study’s primary outcome was all-cause mortality in patients with CVD, with cardiovascular mortality as the secondary outcome, and sample weights and complex survey designs were used to ensure reliable, accurate results.ResultsThe final analysis included 4,445 study participants. In the fully adjusted model, the highest quartile (WWI > 12.05 cm/√ kg) showed a higher all-cause mortality rate compared with the lowest quartile (WWI < 11.03 cm/√ kg) (HR = 1.37, 95% CI: 1.03, 1.82, P < 0.05). The risk of all-cause mortality increased with WWI and showed a linear association in patients with congestive heart failure, heart attack (P-overall < 0.05, P − nonlinear > 0.05); WWI was nonlinearly associated with the risk of all-cause mortality in patients with coronary heart disease and angina (P-overall < 0.05, P − nonlinear < 0.05). Survival curve analysis further showed that all cause and cardiovascular mortality were higher in the high WWI group (Q4) (P < 0.001). The time-dependent receiver operating characteristic (ROC) curve showed that WWI’s area under the curves (AUC) for 5- and 10-year survival rates were 0.76 and 0.792 for all-cause mortality and 0.734 and 0.757 for CVD mortality. WWI’s AUC were higher than those of body mass index (BMI) and WC (all P < 0.01).ConclusionOur findings indicate that a high WWI is positively associated with an increased risk of all-cause mortality. Additionally, the high AUC values for WWI strengthen its potential as a meaningful prognostic marker, underscoring its utility in clinical practice for assessing long-term survival risk in patients with CVD.

Epidemiology of Antisynthetase Syndrome and Risk of Malignancy in a Population-based Cohort (1998-2019).

Population-based epidemiology studies about antisynthetase syndrome (ASSD) are lacking. Our aims were to determine the incidence and prevalence of ASSD and assess malignancy risk among patients following ASSD diagnosis. A retrospective, population-based cohort of adults with incident ASSD residing in Olmsted County, Minnesota, in 1998-2019 was assembled. Fulfillment of ASSD Solomon et al. classification criteria and clinical data were collected by manual chart review. Patients were followed until death, migration from the area, or December 31, 2019. Malignancy was defined by physician diagnosis in the medical record. Incidence rate was age- and sex-adjusted to the 2010 U.S. white population. Point prevalence rate was obtained on Jan 1, 2015. 13 patients with ASSD were identified (7 [54%] female, 13 [100%] Caucasian, median age 44.9 years [IQR: 41.9-58.3]). The age- and sex-adjusted incidence of ASSD was 0.56 (95% CI: 0.25-0.87) per 100,000 population. Incidence was highest in the 50-59 age group. Age- and sex-adjusted prevalence was 9.2 per 100,000 (95% CI: 3.4-15.0). 2 of 13 (15%) were diagnosed with malignancy within the follow-up interval; none within 3 years of ASSD diagnosis. At median 11.9 (IQR: 7.0-13.4) years of follow-up, 12/13 (92%) of patients were alive. Antisynthetase syndrome is rare, with incidence of 0.56 per 100,000 population and prevalence of 9 per 100,000. In this cohort, incidence was similar between males and females, and highest in persons ages 50-59 years. None of the patients developed malignancy within 3 years of ASSD diagnosis.

Patient and Healthcare Professional Perspectives on Crohn's Perianal Fistula Treatment: Results From a Discrete Choice Experiment.

Crohn's perianal fistulas (CPF) are difficult to manage and often require multiple interventions. This study aimed to assess the preferences of patients and healthcare professionals (HCPs) for attributes of CPF-related procedures/surgeries to better inform CPF management. This US cross-sectional, observational study was conducted via a web-enabled questionnaire (October 2021-January 2022) among patients aged 21-89 years with a self-reported physician diagnosis of CPF (with or without CPF-related surgery experience) and HCPs (gastroenterologists and colorectal surgeons who managed ≥3 patients with CPF in the past 12 months). Patient and HCP preferences for CPF-related procedure/surgery attributes were assessed using a discrete choice experiment and stated preference methodology. In total, 100 patients and 137 HCPs were recruited. Benefits of therapy (symptom control and/or fistula closure) were rated as the most important CPF treatment attribute by both patients and HCPs influencing treatment decisions (mean relative importance 23.9 and 36.3, respectively). The mean relative importance of procedure invasiveness and postoperative discomfort was higher for patients (19.3 and 20.2, respectively) than for HCPs (14.3 and 11.0, respectively), whereas the mean relative importance of fecal incontinence was greater for HCPs than patients (25.0 vs. 19.3, respectively). Patients and HCPs have different perspectives on the importance of specific CPF-related procedure/surgery attributes. The attributes identified as important to patients and HCPs in this study should be considered when managing patients with CPF and making treatment decisions.

Factors and outcomes associated with under- and overdiagnosis of sepsis in the first hour of emergency department care.

Sepsis remains the leading cause of in-hospital death and one of the costliest inpatient conditions in the United States, while treatment delays worsen outcomes. We sought to determine factors and outcomes associated with a missed emergency physician (EP) diagnosis of sepsis. We conducted a secondary analysis of a prospective single-center observational cohort of undifferentiated, critically ill medical patients (September 2020-May 2022). EP gestalt of suspicion for sepsis was measured using a visual analog scale (VAS; 0%-100%) at 15 and 60 min post-patient arrival. The primary outcome was an explicit hospital discharge diagnosis of sepsis that was present on arrival. We calculated test characteristics for clinically relevant subgroups and examined factors associated with initial and persistent missed diagnoses. Associations with process (antibiotics) and clinical (mortality) outcomes were assessed after adjusting for severity. Among 2484 eligible patients, 275 (11%) met the primary outcome. A VAS score of ≥50 (more likely than not of being septic) at 15 min demonstrated sensitivity 0.83 (95% confidence interval [CI] 0.78-0.87) and specificity 0.85 (95% CI 0.83-0.86). Older age, hypoxia, hypotension, renal insufficiency, leukocytosis, and both high and low temperature were significantly associated with lower accuracy due to reduced specificity, but maintained sensitivity. Of 48 (17%) and 23 (8%) missed cases at 15 and 60 min, elevated lactate, leukocytosis, bandemia, and positive urinalysis were more common in the missed sepsis compared to nonsepsis cases. Missed diagnoses were associated with median (interquartile range) delay of 48 (27-64) min in antibiotic administration but were not independently associated with inpatient mortality as risk ratios remained close to 1 across VAS scores. This prospective single-academic center study identified patient subgroups at risk of impaired diagnostic accuracy of sepsis, with clinicians often overdiagnosing rather than underdiagnosing these groups. Prompt abnormal laboratory test results can "rescue" initial missed diagnoses, serving as potential clinician- and systems-level intervention points to reduce missed diagnoses. Missed diagnoses delayed antibiotics, but not mortality after controlling for severity of illness.

Cognition, function, and mood post-COVID-19: Comparative analysis using the health and retirement study.

Millions of Americans endure post-COVID conditions (PCC), yet research often lacks pre-illness measurements, relying primarily on follow-up assessments for analysis. The study aims to examine the prevalence of PCC, including cognitive impairment, functional limitation, and depressive symptoms, along with relevant risk factors, while controlling for individuals' pre-illness status measured in 2018. A cross-sectional retrospective study utilized the 2018 and 2020 Health and Retirement Study surveys. Sample included individuals with COVID-19 (n = 409; average age 64) and individuals without COVID-19 (n = 8689; average age 59). COVID-19 positive: Individuals with positive tests, physician diagnoses, emergency room visits, or hospitalizations for COVID-19 between 2019-2020. Cognition was assessed using immediate and delayed word-recall tests, serial seven subtractions, and backward counting. Functional status was measured using limitations in activities of daily living (ADLs) and instrumental ADLs. Depressive symptoms were measured using the modified Center for Epidemiology Studies Depression scale. Participants' perception of experiencing PCC was collected. Logistic regression and propensity score matching were employed for these analyses. Among 409 COVID-19-positive respondents (14% hospitalized), 24% exhibited new impairments after COVID-19 infection. Noteworthy increases in functional limitation (OR [95% CI]: 2.18 [0.95, 0.97], p < 0.001) and a marginal rise in cognitive impairment (1.79 [0.99, 3.32], p = 0.053) following COVID-19 infection were observed in comparison to their pre-COVID-19 baseline. Compared to 8689 non-COVID-19 cases, the 409 COVID-19 positives showed increased functional decline (1.78 [1.26, 2.51], p = 0.001) and depressive symptoms (1.41 [1.04, 1.91], p = 0.03). Factors associated with PCC included pre-existing impairments, lower education, female gender, prior hospitalization, higher comorbidity, lower wealth, and mild COVID-19. A notable number of respondents, especially older individuals with fewer pre-existing health conditions, experienced PCC without awareness. Compared to an individual's pre-illness baseline and uninfected individuals, being positive for COVID-19 raised the risk of functional limitation, depressive symptoms, and cognitive impairment. Additionally, addressing PCC through both subjective and objective approaches is essential to alleviate individual and societal burdens.

Accuracy of the diagnosis of pneumonia in Canadian pediatric emergency departments: A prospective cohort study.

The diagnosis of pediatric pneumonia and determination of the likely pathogen are complicated as the clinical picture overlaps with other respiratory illnesses, interpretation of radiographs is subjective, and laboratory results are rarely diagnostic. This study was designed to describe the relative rates of bacterial and viral pneumonia in the pediatric Emergency Department (ED), determine the accuracy of pediatric ED physicians' ability to diagnose pneumonia and distinguish bacterial from viral etiology, and to determine clinical and laboratory predictors of bacterial pneumonia. Children 3 months to 16 years of age presenting to seven Canadian pediatric EDs before the COVID-19 pandemic with fever and cough who had a chest radiograph performed for possible pneumonia were enrolled and underwent standardized clinical investigations. An expert panel was convened and reached a Consensus Diagnosis of typical or atypical bacterial pneumonia, viral pneumonia or not pneumonia for each case. The expert panel assessed 247 cases with the Consensus Diagnosis being typical bacterial pneumonia (N = 44(18%)), atypical bacterial pneumonia (N = 18(7%)), viral pneumonia (N = 46(19%)) and no pneumonia (N = 139(56%)). Treating ED physician diagnoses were typical bacterial pneumonia (N = 126(51%)), atypical bacterial pneumonia (N = 3(1%)), viral pneumonia (N = 10(4%)) and no pneumonia (N = 108(44%)) with low agreement between a diagnosis of bacterial pneumonia by the ED physician and the panel's Consensus Diagnosis (Kappa 0.15 (95% CI 0.08, 0.21)). Cut off values that predicted bacterial pneumonia as the Consensus Diagnosis were ESR ≥ 47 mm/hour, CRP ≥ 42 mg/L and procalcitonin ≥0.85 ng/m. Age greater than 5 years and cough for 5 or more days also predict bacterial pneumonia. In this cohort, pediatric ED physicians over-diagnosed typical bacterial pneumonia and underdiagnosed viral and atypical bacterial pneumonia. Bacterial pneumonia is most likely in children over 5 years of age, with cough for 5 or more days and/or with elevated inflammatory markers.

Respiratory Ill-Health and Welding Exposures: A Canadian Cohort Study.

Respiratory ill-health in welders is well documented but without a clear indication of exposures responsible. In a Canadian cohort study of welders and electrical workers, we collected self-reports of asthma/wheeze and rhinitis at each 6-monthly contact for up to 5 years. Physician diagnoses of asthma and chronic obstructive pulmonary disease (COPD/bronchitis)were extracted from the Alberta administrative health database (AHDB). Welders provided task-specific information at each contact. Estimates were derived for cumulative exposure to particulates, chromium, and nickel. Factors associated with time to first and recurrent events were identified by proportional hazards regression, adjusting for sex, age, and smoking. Of 1001 welders and 884 workers in electrical trades recruited, 1338 in Alberta were matched to the AHDB. Welders were more at risk of physician-diagnosed COPD/bronchitis than those in the electrical trades (HR for first report = 1.87; 95% CI = 1.27-2.77) but not of asthma. Times to first self-report of asthma/wheezing (HR = 1.58; 95% CI = 1.23-2.04) and rhinitis (HR = 1.29; 95%CI = 1.11-1.49) were shorter in welders. Among welders, time to physician-diagnosed asthma was weakly related to cumulative nickel exposure (mg/m3_h/100) (HR = 1.08; 95% CI = 1.00-1.17). COPD/bronchitis was related to cumulative exposure to total dust (g/m3_h) (HR = 1.01; 95% CI = 1.00-1.03) and to chromium (mg/m3_h/100) (HR = 1.14; 95% CI = 1.04-1.26). The risk of both asthma and COPD/bronchitis reduced with time using local exhaust ventilation. Self-reported rhinitis increased with cumulative nickel exposure (HR = 1.00; 95% CI = 1.00-1.01). Welders were at increased risk of COPD/bronchitis, with risk related to cumulative dust and chromium exposure. Nickel exposure increased the risk of asthma and rhinitis.

Artificial Intelligence vs. Physician Expertise in Appendicular Skeleton Fracture Detection: A Scoping Review

Background Fracture types, resulting from both acute and chronic conditions, vary widely, including closed, open, stress, and pathological fractures. Trauma, falls, and sports injuries are leading causes, particularly among younger males, while factors like age, gender, and bone density significantly influence fracture susceptibility. Artificial intelligence (AI), through machine learning (ML) and convolutional neural networks (CNN), has emerged as a powerful tool in fracture detection, improving diagnostic accuracy and reducing errors in interpretation. Radiological AI algorithms are increasingly used in clinical settings, offering reliable diagnostic performance on par with trained clinicians. . Purpose/Hypothesis This review examines the role of AI in fracture detection, focusing on its accuracy compared to physician diagnoses and its potential to enhance clinical outcomes across different anatomical regions of the appendicular skeleton. Study/Design The exploration includes the AI's role in enhancing clinical care, its comparative accuracy with trained clinicians, and its potential in minimizing diagnostic disparities during trauma-related scenarios. Methods A systematic search was conducted across multiple databases including Cochrane Central Register of Controlled Trials, Embase, OVID Medline, PubMed, and Web of Science, following the PRISMA guidelines for studies published in the English language between January 1, 2018 to December 31, 2022. Inclusion criteria targeted studies utilizing artificial intelligence modalities, radiographic images of pediatric or adult fractures, and the participation of orthopedic surgeons or radiologists for comparison of diagnostic accuracy with AI. Results A total of 754 articles were screened, with 36 meeting inclusion criteria for this review. These studies focused on AI-based fracture detection compared directly with physician diagnoses, specifically for appendicular skeleton fractures. Among the included articles, 13 compared AI to radiologists, 3 to orthopedic surgeons, and 1 to ER physicians, with 19 involving unspecified or mixed specialties. AI models were categorized by type, with 12 using Convolutional Neural Networks (CNNs), 14 using Deep Convolutional Neural Networks (DCNNs), and 10 employing unspecified deep learning models. Regarding fracture locations, 5 studies focused on the distal radius, 4 on wrist bones, 2 each on ankle and humerus fractures, 4 on the scaphoid, 6 on the hip, and 3 on the femur, while 7 evaluated fractures across the appendicular skeleton. Most studies were retrospective cohort designs (n=35), with one prospective study included. A general population was examined in 28 studies, while 5 focused on pediatric fractures, and 1 excluded pediatric images. X-rays were the primary imaging modality in 35 studies, with 1 study using MRI and CT. Comparative results indicated that AI outperformed physicians in 7 studies, matched their performance in 10, and was outperformed by physicians in 1. Physician performance improved with AI assistance in 11 studies. Additionally, 8 studies compared AI to “ground-truth” diagnoses to assess sensitivity and specificity. This categorization highlights the range of AI model types, specialties, and comparison methods across the studies. Conclusions This review evaluates the application of AI in radiological fracture detection. While current AI algorithms demonstrate promising potential, our findings indicate a need for further improvement in predictive accuracy before broad clinical implementation. Multidisciplinary collaboration appears crucial for optimizing diagnostic outcomes and improving patient care.

The Psychosocial Burden of Pediatric Food Allergy in the United States: A Population-Based Survey.

Food allergy (FA) affects approximately one in 12 US children, with prevalence increasing. Aside from considerable health care utilization, accumulating research suggests heightened psychosocial burden among this population. To characterize FA-related psychosocial burden among a large, nationally representative pediatric sample, and its correlates, including sociodemographic characteristics, comorbid conditions, allergy severity, allergic symptoms, number and type of allergens, and healthcare utilization. A survey was administered between October 2015 and September 2016 to a nationally representative sample of US households. Survey constructs included the Food Allergy Independent Measure (FAIM), which was developed to quantify adverse impacts of living with FA on psychosocial burden (range = 1-7; higher scores indicate greater burden). FAIM responses were analyzed from caregivers reporting current FA in their child (N = 4734). Linear regression models examined associations with sociodemographic and FA characteristics. The overall estimated mean caregiver-proxy FAIM scores for the US pediatric population were 2.79 (SE = 0.03) for reported FA, 2.96 (SE = 0.04) for convincing FA, and 3.21 (SE = 0.05) for physician-confirmed, convincing FA. Significant differences in caregiver-reported burden (p < .05) were found for sociodemographic (i.e., household income, birth country, child age), and clinical (i.e., FA severity, physician diagnosis, specific allergens) factors. While heterogenous to a degree, the psychosocial burden of children with FA was substantial irrespective of sociodemographic and clinical characteristics. FAIM norms can be used clinically, as well as be leveraged by other economic, epidemiological, and health efforts to understand the public health impact of FA.

School well-being in primary school children with chronic illness. A prospective cohort study.

Children with chronic illness perform poorer at school, and school well-being (SWB) may mediate this association. We investigated the association between chronic illness and three domains of SWB in children in first grade. Data from a German population-based prospective cohort study were used. Children with chronic illness were identified via their preschool health examination and follow-up parent surveys during first grade. Children were grouped as either (i) having current special health care needs (SHCN), (ii) having at least one physician diagnosis of a chronic illness but no current SHCN, or (iii) being healthy. SWB was assessed at the end of first grade and measured by the Questionnaire for the Assessment of Emotional and Social School Experiences of First and Second Grade Primary School Children. Based on SWB theory and previous frameworks, the following subscales were used: School-Related Self-Concept, Social Integration, and Joy of Learning. The sum score for each subscale was converted into area-transformed T-values (mean 50 and standard deviation 10). Associations between chronic illness groups and SWB subscales were investigated by multivariable linear regression models. Effect estimates were adjusted for potential confounding variables and standardized mean differences (SMD) were calculated. Of the 1,490 children included, 15% had current SHCN and 37% had a physician diagnosis of a chronic illness but no current SHCN. Compared to healthy children, children with SHCN had lower scores for the School-Related Self-Concept and the Joy of Learning subscale (SMD -0.18 for both) but not for the Social Integration subscale. In contrast, children with a chronic condition but no SHCN had lower scores only for the Social Integration subscale (SMD -0.12). Primary school students with a chronic illness with or without SHCN have lower SWB in some domains compared to their healthy peers. SWB may be a mediator in the association between chronic illness and poor school performance.

Cohort study profile: a cohort of Korean atomic bomb survivors and their offspring.

The Korean Atomic Bomb Survivor Cohort (K-ABC) study was designed to investigate the health impacts of atomic bomb exposure on Korean survivors and to explore whether these effects are passed down genetically to their descendants. This paper outlines the study's design, data collection methods, baseline sociodemographic characteristics, exposure status, and disease prevalence among the participants, based on survey responses and health examinations. From 2020 to 2024, a total of 2,544 individuals, comprising 1,109 atomic bomb survivors (G1), 1,193 children of G1 (G2), and 242 grandchildren of G1 (G3), consented to participate in the study. Of these, 1,828 participants (659 in G1, 927 in G2, and 242 in G3) completed the survey and underwent health examinations, representing a participation rate of 71.9%. Exposure information was gathered using a questionnaire and verified through records from the Korean Red Cross and a handbook issued by the Japanese government. Disease prevalence was determined based on participants' self-reported physician diagnoses. This study presents details about the K-ABC study and provides baseline data on the participants recruited. These data will be valuable for interpreting the results of future K-ABC studies.

The association of objective daytime sleepiness with impaired glucose metabolism in patients with obstructive sleep apnea: a multi-omics study.

To examine the joint effect of obstructive sleep apnea (OSA) and objective excessive daytime sleepiness (EDS) on glucose metabolism and the underlying mechanisms. We included 127 patients with OSA. The multiple sleep latency test (MSLT) and Epworth sleepiness scale (ESS) were used to assess objective and subjective EDS, respectively. Disordered glucose metabolism was defined as either a physician diagnosis or having fasting blood glucose levels ≥ 5.6 mmol/L. Values of fasting insulin and homeostasis model assessment of insulin resistance (HOMA-IR) higher than the median values of our sample were defined as high fasting insulin and insulin resistance. Serum metabolomics and fecal microbiota were used to explore underlying mechanisms. Lower MSLT values were associated with higher levels of fasting blood glucose, fasting insulin, and HOMA-IR. Furthermore, objective EDS was associated with increased odds of disordered glucose metabolism, elevated fasting insulin, and insulin resistance. Dysregulation of serum valine degradation and dysbiosis of fecal Bacteroides thetaiotaomicron were associated with impaired glucose metabolism in OSA with objective EDS. No association between subjective EDS and impaired glucose metabolism was observed. OSA with objective, but not subjective, EDS is associated with an increased risk of disordered glucose metabolism and insulin resistance. Dysregulation of valine degradation and dysbiosis of Bacteroides thetaiotaomicron appear to link objective EDS and disordered glucose metabolism in OSA.

Clinical Presentation, Care Pathways, and Delays in Access to Specialized Care in Patients With Systemic Lupus Erythematosus: A Study From Lupus Midwest Network (LUMEN).

We aimed to characterize presentation and care pathways of patients with systemic lupus erythematosus (SLE), and delays in access to SLE-specialized care. We included patients with incident SLE from the Lupus Midwest Network registry. Time from the first medical encounter for SLE clinical manifestation to access to SLE-specialized care, physician diagnosis, and treatment was estimated. Delays were defined as ≥6 months to access specialized care. We compared SLE manifestations, disease activity, and Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage indexes (SDI) between patients with and without delays. Logistic regression models assessed associations with delays. The study included 373 patients with SLE. The median time to access SLE-specialized care was 1.1 (95% confidence interval [CI] 0.9-1.5) months, time to diagnosis was 30.6 (95% CI 18.9-48.1) months, and time to treatment initiation was 4.7 (95% CI 3.9-8.4) months. Approximately 25% of patients (93 out of 373) experienced delays accessing specialized care, which were associated with fewer SLE manifestations at first SLE-related encounter (fewer than two SLE domains; 92% vs 72%, P < 0.001). Patients with mucocutaneous or musculoskeletal manifestations were less likely to experience delays, whereas hematologic (odds ratio [OR] 1.71, 95% CI 1.03-2.84) or antiphospholipid antibodies domains (OR 6.05, 95% CI 2.46-14.88) were associated with delays. Delays were associated with damage at first access to SLE-specialized care (SDI ≥1; 30% vs 7%, P < 0.001). Patients follow a heterogeneous pathway to receive care. One-fourth of patients experienced delays accessing SLE-specialized care, which was associated with disease-related damage. Fewer manifestations, hematologic manifestations, or antiphospholipidantibodies were associated with delays.

Understanding the Determinants Influencing Self-Medication with Antibiotics Among Malaysian Residents: A Qualitative Study to Inform Preventive Public Health Strategies.

Self-medication with antibiotics (SMA)-the use of these drugs without a physician's diagnosis, supervision, or a medical prescription-has emerged as a significant crisis in many societies, being a particular concern in low- and middle-income countries. SMA practices hinder global efforts to reduce antibiotic consumption in the human health sector and to control antimicrobial resistance (AMR). The aims of the study were to explore the motivations, perspectives, and personal experiences of the Malaysian population related to SMA, analyzing their subjective viewpoints, attitudes, and behaviors. The present qualitative study applied an interpretivism paradigm to explore the complex topic of SMA; the interview questions were developed and confirmed by experts in AMR and pharmacy practice. Qualitative data analysis was carried out through a thematic approach. Out of twenty-seven (n = 27) eligible individuals, eleven (n = 11) agreed to participate in in-depth interviews. Three main themes and seven subthemes were identified. Participants revealed directly purchasing antibiotics from pharmacies, due to doctors prescribing similar medications for comparable illnesses in the past. Trust issues related to physicians prescribing unnecessary additional medications and suspected personal motives were revealed. Budgetary constraints, timesaving, and aspects of self-care were identified as some of the key drivers for SMA. The current study's findings contribute to the understanding of the complexities surrounding SMA and provides insights into the public perceptions and behaviors regarding unregulated antibiotic use in Malaysia. Understanding these dynamics may inform targeted public health interventions to address SMA to mitigate the development of AMR.

The effectiveness of deep learning model in differentiating benign and malignant pulmonary nodules on spiral CT.

Pulmonary nodule, one of the most common clinical phenomena, is an irregular circular lesion with a diameter of ⩽ 3 cm in the lungs, which can be classified as benign or malignant. Differentiating benign and malignant pulmonary nodules has an essential effect on clinical medical diagnosis. To explore the clinical value and diagnostic effects of the lung nodule classification and segmentation algorithm based on deep learning in differentiating benign and malignant pulmonary nodules. A deep learning model with a fine-grained classification manner for the discrimination of pulmonary models in Dr.Wise Lung Analyzer. This study retrospectively enrolled 120 patients with pulmonary nodules detected by chest spiral CT from March 2021 to September 2022 in the radiology department of Ninghai First Hospital. The DL-based method and physicians' accuracy, sensitivity, and specificity results were compared using the pathological results as the gold standard. The ROC curve of the deep learning model was plotted, and the AUCs were calculated. On 120 CT images, pathologically diagnosed 81 malignant nodules and 122 benign modules. The AUCs of radiologists' diagnostic approach and DL-base method for differentiating patients were 0.62 and 0.81; radiologists' diagnostic approach and DL-base method achieved AUCs of 0.75 and 0.90 for benign and malignant pulmonary nodules differentiate. The accuracy, sensitivity, and specificity with the deep learning model were 73.33%, 78.75%, and 62.50%, respectively, while the accuracy, sensitivity, and specificity with the physician's diagnosis were 63.33%, 66.25%, and 57.500. There was no significant difference between the diagnosis results of the proposed DL-based method and the radiologists' diagnostic approach in differentiating benign and malignant lung nodules on spiral CT (P< 0.05).

Respiratory viruses associated with severe acute respiratory infection in children aged

With the increased availability of licensed vaccines for respiratory viruses such as severe acute respiratory syndrome coronavirus 2, respiratory syncytial virus (RSV), and influenza virus, a better understanding of the viral aetiology of severe acute respiratory infections (SARI) among children could help in optimising the use of these vaccines. We conducted a study among children aged <5 years hospitalised with SARI at a tertiary care children's hospital in north India and tested for common respiratory pathogens. We randomly enrolled eligible SARI cases aged <5 years from August 2013 to July 2015. SARI cases were defined as either <7-day history of fever with cough or in children aged eight days to three months, a physician diagnosis of acute lower respiratory infection requiring hospitalisation. We also enrolled an age-group matched control without any acute illness in a 2:1 ratio from the outpatient clinic within 24 hours of case enrolment. Nasopharyngeal and/or oropharyngeal swabs were collected and tested using TaqMan Array Cards, a real-time reverse transcription polymerase chain reaction-based multi-pathogen testing platform for selected respiratory viruses among the enrolled cases and controls. We compared the prevalence of each pathogen among cases and controls using the χ2 (χ2) or Fisher exact test (P < 0.05). We used logistic regression to estimate adjusted odds ratios (aORs) which were then used to calculate aetiologic fractions (EFs). We enrolled 840 cases and 419 outpatient controls. Almost half of the individuals in the whole sample were aged <6 months (n = 521, 41.4%). Females made up 33.7% of cases and 37.2% of controls. Viral detections were more common among cases (69%, 95% confidence interval (CI) = 66, 73) compared to controls (33%; 95% CI = 29, 38) (P < 0.01). RSV (n = 257, 31%; 95% CI = 28, 34%) was the most common virus detected among cases. Influenza A was detected among 24 (3%; 95% CI = 2, 4%), and influenza B among 5 (1%; 95% CI = 0, 1%) cases. The association between the virus and SARI was strongest for RSV (aOR = 23; 95% CI = 12, 47; EF = 96%). Antivirals were administered to 1% of SARI cases while 78% received antibiotics. Using a multi-pathogen molecular detection method, we detected respiratory viruses among more than two-thirds of children aged <5 years admitted with SARI in the Delhi tertiary care children's hospital. The guidelines for preventing and managing SARI cases among children could be optimised further with the improved availability of antivirals and vaccines.

Persistent Calcium Inadequacy in Korean Adults over 20 Years: Analysis of the 1998-2018 Korea National Health and Nutrition Examination Survey.

Calcium inadequacy in Asian populations has been well documented, but whether it has improved over time remains uncertain. We analyzed dietary calcium intake and its association with osteoporosis prevalence over a 20-year period in 48,653 adults (21,932 men and 26,721 women, aged 19 years and older) in Korea, using data from the first to the seventh Korea National Health and Nutrition Examination Survey (1998-2018). Over the past 20 years, Korean adults consistently fell short of the recommended dietary calcium intake, with women and older adults particularly affected, typically consuming only 40-80% of the recommended levels. The 30-49 age group had the highest calcium intake (497-568 mg/day), while those aged 75+ had the lowest (319-457 mg/day). A significant inverse relationship was found between calcium intake and osteoporosis risk, with lower calcium intake associated with higher odds of developing osteoporosis, as determined by both physician diagnoses and bone mineral density measurements (p < 0.001). Notably, over the past 20 years, 68-70% of dietary calcium consistently came from plant-based foods. This study strongly emphasizes the urgent need to enhance calcium-rich food availability and implement targeted interventions to increase calcium intake among those most affected by inadequacy, particularly the elderly and women. Further research with recent data would be valuable for understanding current intake levels and evolving nutritional needs.

Long COVID and recovery from Long COVID: quality of life impairments and subjective cognitive decline at a median of 2 years after initial infection

BackgroundRecovery from SARS CoV-2 infection is expected within 3 months. Long COVID occurs after SARS-CoV-2 when symptoms are present for more than 3 months that are continuous, relapsing and remitting, or progressive. Better understanding of Long COVID illness trajectories could strengthen patient care and support.MethodsWe characterized functional impairments, quality of life (QoL), and cognition among patients who recovered from SARS-CoV-2 infection within 3 months (without Long COVID), after 3 months (Recovered Long COVID), or remained symptomatic (Long COVID). Among 7305 patients identified with previous SARS-CoV-2 infection between March 2020 and December 2021, confirmed in the medical record with laboratory test or physician diagnosis, 435 (6%) completed a single self-administered survey between March 2022 and September 2022. Multi-domain QoL and cognitive concerns were evaluated using PROMIS-29 and the Cognitive Change Index-12.ResultsNearly half the participants (47.7%) were surveyed more than 2 years from initial infection (median = 23.3 months; IQR = 18.6, 26.7) and 86.7% were surveyed more than 1 year from infection. A significantly greater proportion of the Long COVID (n = 215) group, (Current and Recovered combined), had moderate-to-severe impairment in all health domains assessed compared to those Without Long COVID (n = 220; all p < 0.05). The Recovered Long COVID group (n = 34) had significantly lower prevalence of fatigue, pain, depression, and physical and social function impairment compared to those with Current Long COVID (n = 181; all p < 0.05). However, compared to patients Without Long COVID, the Recovered Long COVID group had greater prevalences of fatigue, pain (p ≤ 0.06) and subjective cognitive decline (61.8% vs 29.1%; p < 0.01). Multivariate relative risk (RR) regression indicated Long COVID risk was greater for older age groups (RR range 1.46–1.52; all p ≤ 0.05), those without a bachelor’s degree (RR = 1.33; 95% CI = 1.03–1.71; p = 0.03), and those with 3 or more comorbidities prior to SARS-CoV-2 infection (RR = 1.45; 95% CI = 1.11–1.90; p < 0.01).ConclusionsLong COVID is associated with long-term subjective cognitive decline and diminished quality of life. Clinically significant cognitive complaints, fatigue, and pain were present even in those who reported they had recovered from Long COVID. These findings have implications for the sustainability of participation in work, education, and social activities.