Physician Diagnosis Research Articles

Association between sarcopenic obesity and osteoarthritis: The potential mediating role of insulin resistance

BackgroundSarcopenic obesity (SO) and osteoarthritis (OA) are highly prevalent musculoskeletal conditions that significantly impair health-related quality of life. AimThis study investigated the association between SO and OA, and explored the potential mediating role of insulin resistance in this relationship. We utilized data from the National Health and Nutrition Examination Survey (NHANES) 1999–2018. MethodsThis cross-sectional analysis employs NHANES data collected from 1999 to 2018, including participants aged 18 years and older. SO was assessed using dual-energy X-ray absorptiometry (DXA) measurements. Insulin resistance was estimated using the triglyceride-glucose (TyG) index. OA status was based on self-reported physician diagnosis. Statistical analyses included weighted logistic regression, restricted cubic spline (RCS) interaction analysis, mediation analysis using structural equation modeling (SEM), and receiver operating characteristic (ROC) curve analysis. Subgroup analyses were conducted based on age, sex, and diabetes status. ResultsThe sarcopenic obese group demonstrated the highest prevalence of OA (23.4 %), hypertension (47.8 %), and diabetes (12.0 %). Additionally, they exhibited elevated levels of triglycerides, cholesterol, glucose, blood urea nitrogen (BUN), creatinine, and uric acid. Logistic regression revealed significant positive associations between sarcopenic obesity, the TyG index, and OA risk. RCS analysis identified significant non-linear relationships and interactions of the TyG index with age, sex, and diabetes status on OA risk. Mediation analysis indicated that the TyG index mediated approximately 4.9 % of the effect of sarcopenic obesity on OA risk. ROC curve analysis demonstrated moderate diagnostic accuracy for the TyG index (AUC = 0.65), which improved when incorporated into the multivariate model (AUC = 0.78). Subgroup analyses confirmed significant associations between the TyG index and sarcopenic obesity with OA risk across different age, sex, and diabetes status categories. ConclusionOur findings suggest a significant correlation between insulin resistance, as measured by the TyG index, and elevated OA risk in individuals with sarcopenic obesity. Targeting insulin resistance through future research may be a promising avenue to lower OA risk in this population.

The clinical impact of cardiac magnetic resonance imaging upon suspected myocardial infarction with non-obstructive coronary artery disease

Abstract Background Cardiac magnetic resonance (CMR) may identify the underlying pathology in myocardial infarction with non-obstructed coronary arteries (MINOCA), however there are scant prospective data evaluating the more important measure of actual change in diagnosis and management consequent to CMR. Purpose To evaluate impact of CMR in MINOCA upon diagnosis, diagnostic certainty and management, adjudicated by treating physicians to minimise investigator bias. Methods Prospective, multi-center international pre- and post-CMR study of suspected MINOCA. Physician diagnosis, diagnostic certainty and intended management were established by questionnaire before and after CMR. The primary outcome was change in diagnosis or management. Secondary outcomes were change in diagnosis, change in management, change in diagnostic certainty, and number-needed-to-test for de-prescription of dual antiplatelet therapy (DAPT). Potential predictors of impactful CMR were evaluated by multivariable logistic regression analysis. Results 320 patients referred by 74 clinicians underwent CMR; mean age 55.6 (12.3) years, 48.1% female. CMR was conducted at median 11 days (IQR 6-19) post presentation. CMR led to change in diagnosis or management in 62.8% (95% CI 57.4% - 68.2%, p<0.0001) and significantly increased diagnostic certainty [8/10 post-CMR (5-9) vs 6/10 pre-CMR (4-7), p<0.0001]. Predictors of impactful CMR on multivariable analysis were early CMR (≤14 days), absence of atheroma on coronary angiography, significant pre-CMR diagnostic uncertainty (≤5/10), and a history of vascular disease. DAPT was deprescribed or modified to single antiplatelet in 61.7% patients. The number-needed-to-test to deprescribe DAPT was 2.6 (and 1.6 if a myocardial infarction mimic was co-suspected pre-CMR), which has important cost-benefit implications for CMR in MINOCA. Conclusions In this first prospective multi-centre study of CMR in MINOCA where diagnostic utility was adjudicated by the treating physicians, CMR was associated with frequent and significant changes in diagnosis, clinician certainty and clinical care, including frequent de-prescription of DAPT. Early CMR is to be encouraged, particularly in patients where there is significant diagnostic uncertainty and no atheroma on coronary angiography.

65 Neonatal ventilator-associated pneumonia: A tale of three cities in Canada West

Abstract Background Preterm infants are at increased risk for acquired infections related to invasive devices such as endotracheal tubes (ETT). Wide heterogeneity exists in diagnostic criteria and management of ventilator-associated pneumonias (VAP), which have not been validated in the neonatal population. Objectives To determine the demographic characteristics and prevalence of VAP according to three different existing criteria used in the neonatal intensive care unit (NICU). Design/Methods In this retrospective study, we included infants born at <33 weeks gestational age from 3 different NICUs in western Canada, who have been diagnosed with VAP during 2018 – 2022. Infants were diagnosed per three diagnostic criteria: (1) Diagnosed per physician diagnoses (mechanically ventilated infants with stability or improvement ≥48 hours and deterioration at the physician’s discretion); (2) VAP diagnostic consensus adopted by some Canadian NICUs (Canadian criteria) (including escalation in respiratory support such as increase in FiO2 by minimum 0.25, increase in MAP by minimum 4 or change in ventilation mode); and (3) Criteria of a paediatric ventilator-associated condition (PVAC) with a positive respiratory diagnostic test (PVAC criteria) (including escalation in respiratory support such as increase in FiO2 by minimum 0.1, increase in MAP by minimum 2 or change in ventilation mode). Results There were 185 neonates diagnosed to have VAP at physicians’ discretion during the study period, with incidences of 4.6%, 8.9%, and 5.7% in the three NICUs. They had a median GA of 25 weeks, a median birth weight of 748-849 grams, and a median onset of VAP ranging from 16-31 days. Among the VAP per physicians’ diagnoses, 18.2-55.0% of infants fulfilled the VAP criteria of Canadian consensus, and 10.9-12.5% of them fulfilled the PVAC criteria with a positive respiratory diagnostic test. The demographic distribution showed similar patterns across the three criteria. Staphylococcus aureus, Enterobacter cloacae complex, Klebsiella species, and oral flora were found to be the most common organisms yielded from ETT aspirate cultures. Conclusion We found that 4.6-8.9% of infants born at <33 weeks GA had VAP diagnosed during their NICU stay. Only around one-ninth of infants fulfilled the PVAC criteria with a positive respiratory diagnostic test. Therefore, there is an urgency to develop neonatal-specific and validated diagnostic criteria for VAP.

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

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 (SLEDAI-2k), and SLICC/ACR 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 months (95% confidence interval [CI] 0.9-1.5); time to diagnosis 30.6 months (95% CI 18.9-48.1), and time to treatment initiation 4.7 months (95% CI 3.9-8.4). Approximately 25% (93/373) of patients experienced delays accessing specialized care, which were associated with fewer SLE manifestations at first SLE-related encounter (<2 SLE domains; 92% vs 72%, P < 0.001). Patients with mucocutaneous or musculoskeletal manifestations were less likely to experience delays, while 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 damage. Fewer manifestations, hematologic, or antiphospholipid antibodies were associated with delays.

Validation of the Updated "LIfestyle for BRAin health" (LIBRA) Index in the English Longitudinal Study of Ageing and Maastricht Aging Study.

The "LIfestyle for BRAin health" (LIBRA) index was recently updated with three new modifiable factors: hearing impairment, social contact, and sleep (LIBRA2), but has not yet been validated. Comparison of the performance of both LIBRA versions in predicting dementia risk. Longitudinal data from the English Longitudinal Study of Ageing (ELSA) and the Maastricht Aging Study (MAAS) were used. The weighted LIBRA (11/12 factors available) and LIBRA2 (14/15 factors available) scores were calculated, with higher scores representing an unhealthier lifestyle. Dementia diagnoses were based on self- or informant reported physician diagnosis, an informant-based cognitive screening tool, registry data or test data. Cox-proportional hazards regression was used to investigate the association between LIBRA(2) scores and dementia risk. Model fit and predictive accuracy were determined using the Akaike information criterion and Harrell's C index. Over an average follow-up of 8.3 years in ELSA and 17.9 years in MAAS, 346 (4.6%) and 120 (8.5%) individuals developed dementia, respectively. In ELSA, a one-point increase in LIBRA2 was associated with an 8% (1.06-1.11) higher dementia risk (LIBRA: 13%, 1.09-1.16). In MAAS, a one-point increase in LIBRA2 was associated with a 6% (1.01-1.12) higher dementia risk (LIBRA: 8%, 0.99-1.16). In ELSA, LIBRA (Harrell's C = 0.68) and LIBRA2 (Harrell's C = 0.67) performed similarly. In MAAS, LIBRA2 (Harrell's C = 0.62) performed better compared to LIBRA (Harrell's C = 0.52). LIBRA2 is a better model for identifying individuals at increased dementia risk and for public health initiatives aimed at dementia risk reduction.

Antibiotic Therapy in Asthma as One of First Step Treatment, a Phase 3 Randomized Clinical Trial

Background: Focus of this study was on subjects suffering from new onset asthma, but actually, they may involve with an infection. Objectives: The target of this study was to determine the frequency of total control of asthma in new onset asthma. Methods: this is a phase 3 randomized clinical trial. The participants were 50 new onset asthma, who feel suffering from respiratory infection, however the physician diagnosis was asthma according to wheezy chest, spirometry and clear chest roentgenogram. Age less than 18 years and pregnant women were excluded. The subjects were randomly divided into two groups, doxycycline hyclate and the placebo arms. The drugs were repacked in similar in shape container. Primary endpoint was time to first recurrence. Secondary endpoints were frequency of total control of asthma, dyspnea, cough, asthma control test (ACT) score, FEV1, FEV1/FVC, eosinophil and neutrophil in blood and sputum. Results: The difference of clinical findings between two groups before the trial were not significant. Ten percent reported acute attack of asthma during last two months. Treatment with Doxycyline revealed significant improvement of clinical findings, asthma attack and ACT score after two months of treatment, however, complete resolution of clinical findings were significantly higher in Doxycyline group compare to placebo. Clinical findings and FEV1 percent predicted in Doxycyline group T2low asthma group showed significant improvement which were not depicted in T2high group. Eighteen months follow up of the subjects showed complete resolution of asthma symptoms in 12 (48%) on Doxycyline group, which was significantly higher than control group (5 (20%). Time to first exacerbation in doxycycline group was 13.6±5.64 months which was significantly longer than control group (7.49±6.95, P=0.002). Time to first exacerbation in CRP positive was significantly longer (13.64±5.35 months) than CRP negative subjects (9.67±7.76 months, P=0.02). Conclusion: Doxycycline is an effective antibiotic for preventing recurrence of asthma, in selected new subjects who suspicious for respiratory infection.

Matched Comparison Examining the Effect of Obesity on Clinical, Economic, and Humanistic Outcomes in Patients with BipolarI Disorder.

BipolarI disorder (BD-I) is associated with an increased risk of obesity, but few studies have evaluated the real-world clinical, humanistic, and economic effects associated with obesity in people with BD-I. This was a retrospective, cross-sectional analysis of responses to the 2016 and 2020 National Health and Wellness surveys. Respondents (18-64years) with a self-reported physician diagnosis of BD-I were matched to controls without BD-I based on demographic and health characteristics. Respondents were categorized by body mass index as underweight/normal weight (< 25kg/m2), overweight (25 to < 30kg/m2), or obese (≥ 30kg/m2). Multivariable regression models were used to compare obesity-related comorbidities, healthcare resource utilization (HCRU), health-related quality of life (HRQoL), work productivity, and indirect and direct costs. Before matching, the BD-I cohort was younger than the non-BD-I cohort and included more female and white respondents and a greater proportion covered by Medicaid or Medicare. After matching, the BD-I and non-BD-I cohorts had similar characteristics. A total of 5418 respondents (BD-I, n = 1806; matched controls, n = 3612) were analyzed. Obese respondents with BD-I reported the highest adjusted prevalences of high blood pressure (50%), high cholesterol (35%), sleep apnea (27%), osteoarthritis (17%), type2 diabetes (12%), and liver disease (4%). Obesity in respondents with BD-I was associated with the lowest HRQoL scores. Measures of work impairment were highest in respondents with BD-I and obesity, as was HCRU. Respondents with BD-I and obesity had the highest associated total indirect and direct medical costs ($25,849 and $44,482, respectively). Obese respondents with BD-I had greater frequencies of obesity-related comorbidities, higher HCRU, lower HRQoL, greater work impairments, and higher indirect and direct medical costs. These findings highlight the real-world burden of obesity in people with BD-I and the importance of considering treatments that may reduce this burden.

Frequency of atopic dermatitis and psoriasis in the elderly - Cross-sectional findings from the German AugUR study.

Introduction Atopic Dermatitis (AD) and psoriasis appear to affect 2-3% (lifetime prevalence) people worldwide. However, there is little epidemiological data on the prevalence of those two chronic inflammatory skin diseases in the elderly. The aim of this study was to provide frequency estimates of AD and psoriasis obtained from an elderly population in Germany. Methods We examined baseline data from the AugUR study, a cohort study focusing on an aging population within the vicinity of Regensburg, Germany (comprising 1,133 participants with a median age of 76.7 years, 45% being female). We estimated raw frequencies of physician-diagnosed AD and psoriasis from participants' self-reports in personal interviews. These frequencies were adjusted to reflect the demographic distribution of the Bavarian population, considering both gender and age groupings spanning five or ten years. Results Data from 1,133 participants aged 70-95 (45.1% women) were available for analysis. Physician-diagnosed AD was reported by 3.3 % of participants (2.4% from men, 4.3% from women) and 5.6% (95%-CI: 4.3-7.1%) reported physician-diagnosed psoriasis (6.6% in men, 4.3% in women). Age- and gender-standardized frequency estimates for AD were 3.4% (95%-CI: 2.4-4.6, 2.6% in men, 4.3% in women) and 5.3% for psoriasis (95%-CI: 4.1-6.8, 6.3% in men and 4.1% in women). Conclusion This study indicates a lower than previously reported lifetime-prevalence of AD (3.4% vs. 8-10%) and a higher one regarding psoriasis (5.3% vs. 2-4%) in highly aged individuals. More epidemiological research in elderly populations using validated physician diagnoses are desirable.

Effects of physical and psychological multimorbidity on the risk of dementia: multinational prospective cohorts and a meta-analysis

BackgroundPrevious studies only considered the impact of a single physical or psychological disorder on dementia. Our study investigated the association of physical and psychological multimorbidity with dementia among older adults using two multinational prospective cohorts to supplement the limited joint evidence.MethodsWe utilized the Health and Retirement Study (HRS 2012 to 2018) in the United States (US) and the Survey of Health, Ageing and Retirement in Europe (SHARE 2012 to 2018). Physical disorder was defined as any one of seven self-reported physician-diagnosed conditions. Psychological disorder was assessed using the 8-item Center for Epidemiologic Research Depression (CES-D) scale or the EURO-D. Dementia was determined through a combination of self-reported physician diagnosis of dementia or Alzheimer’s disease, or the 27-point HRS cognitive scale. Competing risk models were utilized to estimate the hazard ratios (HRs) and 95% confidence intervals (95% CI). DerSimonian-Laird random-effects meta-analyses were conducted to obtain pooled estimates.ResultsThe prevalence of physical and psychological multimorbidity was 17.29% (1027/5939) in continental Europe and 15.52% (1326/8543) in the US. The incidence of dementia was 6.21 per 1000 person-years in continental Europe and 8.27 per 1000 person-years in the US, respectively. It was highest among participants with physical and psychological multimorbidity in continental Europe (10.46 per 1000 person-years) and the US (14.82 per 1000 person-years), compared with the other three groups. In the univariate model, participants who reported physical and psychological multimorbidity had a higher risk of dementia compared with those who reported no physical and psychological disorders in continental Europe (HR = 2.59; 95% CI: 1.55, 4.33) and the US (HR = 4.11; 95% CI: 2.44, 6.94). After adjusting all covariates, the risk of dementia among participants who reported physical and psychological multimorbidity increased by 86% in continental Europe (aHR = 1.86; 95% CI: 1.08, 3.21) and by 176% in the US (aHR = 2.76; 95% CI: 1.61, 4.72), respectively. After pooling the outcomes, the risk of dementia among participants who reported physical and psychological multimorbidity increased by 115% (aHR = 2.15; 95% CI: 1.27, 3.03).ConclusionsPhysical and psychological multimorbidity was prevalent among older adults in the US and continental Europe. Given the consistent associations with dementia, it is imperative to increase awareness of the links and recognize the limitations of single-disorder care. Specific attention should be given to providing care coordination.

Target-based deep learning network surveillance of non-contrast computed tomography for small infarct core of acute ischemic stroke.

Rapid diagnosis of acute ischemic stroke (AIS) is critical to achieve positive outcomes and prognosis. This study aimed to construct a model to automatically identify the infarct core based on non-contrast-enhanced CT images, especially for small infarcts. The baseline CT scans of AIS patients, who had DWI scans obtained within less than 2 h apart, were included in this retrospective study. A modified Target-based deep learning model of YOLOv5 was developed to detect infarctions on CT. Randomly selected CT images were used for testing and evaluated by neuroradiologists and the model, using the DWI as a reference standard. Intraclass correlation coefficient (ICC) and weighted kappa were calculated to assess the agreement. The paired chi-square test was used to compare the diagnostic efficacy of physician groups and automated models in subregions. p < 0.05 was considered statistically significant. Five hundred and eighty four AIS patients were enrolled in total, finally 275 cases were eligible. Modified YOLOv5 perform better with increased precision (0.82), recall (0.81) and mean average precision (0.79) than original YOLOv5. Model showed higher consistency to the DWI-ASPECTS scores (ICC = 0.669, κ = 0.447) than neuroradiologists (ICC = 0.452, κ = 0.247). The sensitivity (75.86% vs. 63.79%), specificity (98.87% vs. 95.02%), and accuracy (96.20% vs. 91.40%) were better than neuroradiologists. Automatic model had better diagnostic efficacy than physician diagnosis in the M6 region (p = 0.039). The deep learning model was able to detect small infarct core on CT images more accurately. It provided the infarct portion and extent, which is valuable in assessing the severity of disease and guiding treatment procedures.

Symptoms and Diabetes among Chinese Middle-Aged and Elderly Adults with Prediabetes: A National Cohort Study.

We aimed to assess the association between depressive symptoms and the risk of transition from prediabetes to diabetes. We included 3,956 adults with prediabetes aged 45 years and above in 2011. Participants with a ten-item Center for Epidemiologic Studies Depression (CES-D) score of 10 or higher were classified as having depressive symptoms. Incident diabetes was defined as a self-reported physician diagnosis of diabetes, or treatment with glucose-lowering medication in 2013, 2015, or 2018. Among 3, 956 participants (mean age was 59.53 years old and 53.29% were female), the proportion of depressive symptoms was 36.50% in 2011. During the 24,831 person-years of follow-up, 458 participants developed diabetes and the incidence rate was 18.44 (95% CI 16.83 to 20.21) per 1000 person-years. Depressive symptoms were significantly associated with a higher risk of incident diabetes (HR, 1.31; 95% CI, 1.07 to 1.59). In addition, the association was in a dose-response fashion (P trend < 0.001). Compared with the CES-D <10 group, the HRs (95% CI) were 1.21 (0.98 to 1.49) in the 10≤ CES-D <21 group, and 1.95 (1.38 to 2.75) in the CES-D ≥ 21 group. Depressive symptoms were shown as an independent risk factor for the progression from prediabetes to diabetes.

Lifestyle Factors, Sociodemographic Characteristics and Incident Hypertension: A Prospective Analysis of the Korean National Health Insurance Service Sample Cohort.

Hypertension is a significant chronic disease globally, and lifestyle modifications are crucial for the prevention of this disease. We conducted a longitudinal analysis of the associations between lifestyle factors and the incidence of hypertension, stratified by sociodemographic characteristics. We analyzed 113,022 adults (65,315 men), aged 20 years or older from the Korean National Health Insurance Service-National Sample Cohort 2.0 who participated in health screening between 2002 and 2003. Lifestyle factors (smoking, drinking, physical activity) were assessed at baseline using self reports, and incident hypertension was defined based on physician diagnoses. Cox proportional hazards regression models were used to assess associations. During an 11.6-year follow-up, 26,812 new cases of hypertension were identified. The risk of hypertension was high among men and women who smoked over 20 cigarettes daily (men: hazard ratio [HR]: 1.15; 95% confidence interval [CI], 1.08-1.21; women: HR: 1.62; 95% CI 1.17-2.25) and those who drank over 1.5 bottles of alcohol daily (men, HR: 1.18; 95% CI, 1.12-1.24; women, HR: 1.23; 95% CI 1.02-1.47). These associations tended to be high in high-income men (HR: 1.09; 95% CI, 1.04-1.14), low-income women (HR: 1.19; 95% CI, 1.05-1.35) and non-obese women (HR: 1.13; 95% CI, 1.01-1.27) who currently smoked. Physical activity was inversely associated with incident hypertension in men (HR: 0.96; 95% CI, 0.93-0.99). Unhealthy lifestyle factors, such as heavy smoking and drinking, was associated with an increased risk of hypertension, with variations by income, BMI, and sex. These findings underscore the importance of tailored, population-specific prevention strategies to address hypertension disparities.

Classification Criteria for Axial Disease in Youth with Juvenile Spondyloarthritis.

To develop and validate classification criteria for axial disease in youth with juvenile spondyloarthritis (SpA; AxJSpA). This international initiative consisted of four phases: 1) Item generation; 2) Item reduction; 3) Criteria development; and 4) Validation of the AxJSpA criteria by an independent team of experts in an internationally representative Validation cohort. These criteria are intended to be used on youth with a physician diagnosis of juvenile SpA and for whom axial disease is suspected. Item generation consisted of a systematic literature review and a free-listing exercise using input from international physicians and collectively resulted in 108 items. After the item reduction exercise and expert panel input, 37 items remained for further consideration. The final AxJSpA criteria domains included: imaging: active inflammation, imaging: structural lesions, pain chronicity, pain pattern, pain location, stiffness, and genetics. The most heavily weighted domains were active inflammation and structural lesions on imaging. Imaging typical of sacroiliitis was deemed necessary, but not sufficient, to classify a youth with AxJSpA. The threshold for classification of AxJSpA was a score of ≥55 (out of 100). When tested in the validation data set, the final criteria had a specificity of 97.5% (95% CI: 91.4-99.7), sensitivity of 64.3% (95% CI: 54.9-73.1) and Area Under the Receiver Operating Characteristic (AUROC) curve of 0.81 (95% CI: 0.76-0.86). The new AxJSpA classification criteria require an entry criterion, physician diagnosis of juvenile SpA, and include seven weighted domains. The AxJSpA classification criteria are validated and designed to identify participants for research studies.

Cardiovascular Risk in Patients with Chronic Obstructive Pulmonary Disease: A Systematic Review.

Background/Objectives: A comprehensive and up-to-date review on cardiovascular disease (CVD) risk in patients with COPD is needed. Therefore, we aimed to systematically review the risk of a range of CVD in patients with COPD. Methods: We searched three databases (Pubmed, Web of Science, SCOPUS) from inception to September 2023 using terms related to COPD and CVD. Observational studies were included if they (1) were conducted in adults with a diagnosis of COPD based on the GOLD criteria, spirometry, physician diagnosis, or review of electronic health records; (2) reported the risk of CVD, namely of myocardial infarction (MI), ischaemic heart disease (IHD), atrial fibrillation (AF), heart failure, cerebrovascular disease, pulmonary hypertension, and peripheral vascular disease, compared with a control population using a measure of risk. A narrative synthesis was used. Results: Twenty-four studies from 2015 to 2023, mainly from Europe (n = 17), were included. A total of 3,485,392 patients with COPD (43.5-76.0% male; 63.9-73.5 yrs) and 31,480,333 (40.0-55.4% male, 49.3-70.0 yrs) controls were included. A higher risk of CVD in patients with COPD was evident regarding overall CVD, MI, IHD, heart failure, and angina. Higher risks of arrhythmia and AF, stroke, sudden cardiac death/arrest, pulmonary embolism, pulmonary hypertension, and peripheral vascular disease were also found, although based on a small amount of evidence. Conclusions: Patients with COPD have a higher risk of CVD than the general population or matched controls. This review underscores the need for vigilant and close monitoring of cardiovascular risk in individuals with COPD to inform more precise preventive strategies and targeted interventions to enhance their overall management.

Short-physical performance battery: complete mediator of cognitive depressive symptoms and diabetes mellitus in hemodialysis patients

ObjectiveThis study aimed to examine the relationship between different dimensions of depressive symptoms and the presence of diabetes mellitus in hemodialysis patients. Additionally, the study sought to elucidate the mediating effect of physical performance on this association.MethodsThis was a cross-sectional multicenter study conducted between July 2020 and March 2023, involving 1024 patients from eight hemodialysis centers in Shanghai. Diabetes mellitus was based on a documented physician diagnosis and blood glucose tests. Physical performance and depressive symptoms were assessed using short-physical performance battery (SPPB) and the patient health questionnaire-9, respectively. Regression and mediation analysis were applied to statistical analysis.ResultsAmong the 1024 participants, 39.26% (n = 402) were found to have coexisting diabetes mellitus. Diminished SPPB scores (OR = 0.843, 95% CI = 0.792–0.897) and cognitive depressive symptoms (OR = 1.068, 95% CI = 1.011–1.129) exhibited significant associations with diabetes mellitus, while somatic depressive symptoms did not show a significant correlation. Notably, SPPB emerged as a complete mediator in the relationship between cognitive depressive symptoms and diabetes mellitus. The observed indirect effect of SPPB on this relationship was estimated at 0.038 (95% CI: 0.021–0.057).ConclusionThis study showed an association between diabetes mellitus and cognitive depressive symptoms in patients undergoing hemodialysis, with physical performance appearing to mediate the relationship between diabetes mellitus and depressive symptoms.

An electronic health record (EHR)-based risk calculator can predict fractures comparably to FRAX: a proof-of-concept study.

Fracture risk calculators, such as the Fracture Risk Assessment Tool, or FRAX, typically lie outside the clinician workflow. Conversely, the electronic health record (EHR) is at the center of the clinical workflow, and many variables in the EHR could predict fractures without having to verbally ascertain FRAX risk factors. We sought to evaluate the utility of EHR variables to predict fractures and, as a proof of concept, to create an EHR-based fracture risk model. Routine clinical data from 24,189 subjects presenting to primary care from 2010 to 2018 was utilized. Major osteoporotic fractures (MOFs) were captured by physician diagnosis codes. Data was split into training (n = 18,141) and test sets (n = 6048). We fit Cox regression models for candidate risk factors in the training set, and then created a global model using a backward stepwise approach. We then applied the model to the test set and compared the discrimination and calibration to FRAX. We found variables related to vital signs, utilization, diagnoses, medications, and laboratory values to be associated with incident MOF. Our final model included 19 variables, including age, BMI, Parkinson's disease, chronic kidney disease, and albumin levels. When applied to the test set, we found the discrimination (AUC 0.73 vs. 0.70, p = 0.08) and calibration were comparable to FRAX. Routinely collected data in EHR systems can generate adequate fracture predictions without the need to verbally ascertain fracture risk factors. In the future, this could allow for automated fracture prediction at the point of care to improve osteoporosis screening and treatment rates.

Which Social Variables Predict Diabetes Onset? Robust Findings in Two National Surveys.

The role of social factors in diabetes onset has been obscured by wide variation in their conceptualization and operationalization. We apply 3 theoretical frameworks to categorize social relationship variables along several dimensions and identify which dimension(s) are robustly associated with incident diabetes in the older adult population. The National Social Life, Health, and Aging Project (n = 2,365) and the Health and Retirement Study (n =11,824) provided longitudinal data from 57 to 90-year-old respondents over a 4- to 5-year period. Logistic regression models were used to test associations of 15 social variables measured identically in both data sets with diabetes onset measured as respondents' first report of a physician's diagnosis. In both studies, not being married, experiencing strain in a spousal relationship, and feeling lonely were associated with increased risk for diabetes onset at follow-up. Inconsistent or null findings were observed for social support, social activity, network size, number of friends and relatives, living alone, and closeness to network members. Robust findings in 2 large-scale surveys support the importance of the valence dimension (i.e., positive and negative); specifically, alleviating negative aspects of social life might more effectively reduce risk for diabetes than augmenting positive ones. Findings were not aligned with social variables differing on the subjectivity dimension (i.e., structural, functional, and qualitative aspects of social connections). Future work needs consistent conceptualization and measurement of social factors to correctly identify and categorize risk factors for diabetes onset and other health conditions in older adults.

Using electronic health record data for chronic disease surveillance in low- and middle-income countries: the example of hypertension in rural Guatemala

Hypertension is the leading preventable cause of death worldwide. Two-thirds of people with hypertension live in Low- and Middle-Income Countries (LMIC). However, epidemiological data necessary to address the growing burden of hypertension and other Non-Communicable Diseases (NCDs) in LMICs are severely lacking. Electronic Health Records (EHRs) are an emerging source of epidemiological data for LMICs, but have been underutilized for NCD monitoring. The objective of this study was to estimate the prevalence of hypertension in a rural Indigenous community in Guatemala using EHR data, describe hypertension risk factors and current treatment in this population, and demonstrate the feasibility of using EHR data for epidemiological surveillance of NCDs in LMIC. We conducted a cross-sectional analysis of 3646 adult clinic visits. We calculated hypertension prevalence using physician diagnosis, antihypertensive treatment, or Blood Pressure (BP) ≥140/90 mmHg. We noted antihypertensives prescribed and BP control (defined as BP&lt;140/90 mmHg) for a total of 2496 unique patients (21% of whom were men). We constructed mixed-effects models to investigate the relationship between BP and hypertension risk factors. The estimated hypertension prevalence was 16.7%. Two-thirds of these patients had elevated BP, but were not diagnosed with or treated for hypertension. Most patients receiving treatment were prescribed monotherapy and only 31.0% of those with recognized hypertension had controlled BP. Male sex, older age, increasing weight, and history of hypertension were associated with increasing systolic BP, while history of hypertension, history of diabetes, and increasing weight were associated with increasing diastolic BP. Using EHR data, we estimated comparable hypertension prevalence and similar risk factor associations to prior studies conducted in Guatemala, which used traditional epidemiological methods. Hypertension was underrecognized and undertreated in our study population, and our study was more efficient than traditional methods and provided additional data on treatment and outcomes; insights gleaned from this analysis were essential in developing a sustainable intervention. Our experience demonstrates the feasibility and advantages of using EHR-derived data for NCD surveillance and program planning in LMICs.

Diagnostic accuracy of a prehospital electrocardiogram rule-based algorithm for ST-elevation myocardial infarction: results from a population-wide project.

This study reviewed the diagnostic accuracy of the prehospital electrocardiogram (PHECG) rule-based algorithm for ST-elevation myocardial infarction (STEMI) universally utilised in Hong Kong. This prospective observational study was linked to a population-wide project. We analysed 2210 PHECGs performed on patients who presented to the emergency medical service (EMS) with chest pain from 1 October to 31 December 2021. The diagnostic accuracy of the adopted rulebased algorithm, the Hannover Electrocardiogram System, was evaluated using the adjudicated blinded rating by two investigators as the primary reference standard. Diagnostic accuracy was also evaluated using the attending emergency physician's diagnosis and the diagnosis on hospital discharge as secondary reference standards. The prevalence of STEMI was 5.1% (95% confidence interval [CI]=4.2%-6.1%). Using the adjudicated blinded rating by investigators as the reference standard, the rule-based PHECG algorithm had a sensitivity of 94.6% (95% CI=88.2%-97.8%), specificity of 87.9% (95% CI=86.4%-89.2%), positive predictive value of 29.4% (95% CI=24.8%-34.4%), and negative predictive value of 99.7% (95% CI=99.3%-99.9%) [all P<0.05]. The rule-based PHECG algorithm that is widely used in Hong Kong demonstrated high sensitivity and fair specificity for the diagnosis of STEMI.

Association between relative muscle strength and cardiovascular disease among middle-aged and older adults in China

BackgroundThe association between sarcopenia and cardiovascular disease (CVD) is well known. However, the clinical diagnosis of sarcopenia is complex and not suitable for early clinical identification and prevention of CVD. Relative muscle strength (RMS) is a relatively quantitative and straightforward indicator, but its association with CVD remains unclear. Hence, the objective of this research was to investigate the correlation between RMS and CVD incidence.MethodsThis was a cross-sectional study, using data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011. CVD events were assessed through self-reported physician diagnoses. The RMS was determined by dividing the maximum grip strength by the appendicular skeletal muscle mass (ASM). This study used multivariate logistic regression and restricted cubic spline (RCS) curves to explore the correlation between RMS and CVD incidence. Additionally, we conducted subgroup analyses to provide additional evidence supporting the association between the two variables.ResultsA total of 8,733 people were included in our study, with 1,152 (13.19%) CVD patients and 7,581 (86.81%) non-CVD patients. When the data were grouped according to quartiles (Q) of RMS, the inverse association between CVD and RMS remained statistically significant even after controlling for all potential confounding factors. Compared with participants in Q1 of RMS, the ORs (95% CIs) of CVD among those in Q2-Q4 were 0.99 (0.83, 1.17), 0.81 (0.67, 0.98), and 0.70 (0.57, 0.85), respectively. Moreover, the RCS results showed a negative linear correlation between the RMS and CVD incidence (P for nonlinearity = 0.555). Subgroup analysis revealed no significant interaction in any of the groups except for the sex group (P for interaction = 0.046).ConclusionOur study indicated a stable negative correlation between RMS and CVD incidence. RMS is helpful for the early identification and prevention of CVD.