Search Results (348)

Objectives: To identify clinical, functional, laboratory, and patient-reported parameters associated with medium-term risk of hospitalization or death among older adults attending a multidisciplinary outpatient clinic, and to assess the predictive performance of these measures for individual risk stratification. Methods: In this cohort study, 350 adults aged ≥65 years were assessed at baseline and followed for an average of 8 months. The primary outcome was a composite of hospitalization or all-cause mortality. Parameters assessed included frailty and comorbidity measures, functional parameters, such as gait speed and grip strength, laboratory biomarkers, and patient-reported measures, such as quality of life (QoL, assessed on a Likert scale) and the presence of depressive symptoms. Predictive performance was evaluated using univariable logistic regression and multivariable modeling. Discriminative ability was assessed via area under the ROC curve (AUC), and selected models were internally validated using repeated k-fold cross-validation. Results: Overall, 40 participants (11.4%) experienced hospitalization or death. Traditional clinical risk indicators, including frailty and comorbidity scores, were significantly associated with the outcome. Patient-reported QoL (AUC = 0.74) and Geriatric Depression Scale (GDS) scores (AUC = 0.67) demonstrated useful overall discriminatory ability, with high specificities at optimal cut-offs, suggesting they could act as “red flags” for adverse outcomes. However, the limited sensitivities of individual predictors underscore the need for more comprehensive screening instruments with improved ability to identify at-risk individuals earlier. A multivariable model that incorporated several predictors did not outperform QoL alone (AUC = 0.79), with cross-validation confirming comparable discriminative performance. Conclusions: Patient-reported measures—particularly quality of life and depressive symptoms—are valuable predictors of hospitalization or death and may enhance traditional frailty and comorbidity assessments in outpatient geriatric care. Future work should focus on developing or integrating screening tools with greater sensitivity to optimize early risk detection and guide preventive interventions. Full article

This study investigates the accessibility of public healthcare services in Olsztyn County, a major urban center in the Warmia and Mazury region of Poland. The aim was to develop a methodological framework using Geographic Information System (GIS) tools and spatial data to assess the local availability of healthcare infrastructure. The analysis included key facilities such as hospitals, clinics, pharmacies, and specialized outpatient services. A spatial accessibility indicator was constructed to evaluate and compare access levels across municipalities. The results show a clear disparity between urban and rural areas, with significantly better access in cities. Several rural municipalities were found to have limited or no access to essential healthcare services. These findings highlight the uneven spatial distribution of medical infrastructure and point to the need for targeted strategies to improve service availability in underserved areas. The proposed methodological approach may support future studies and inform local and regional planning aimed at reducing healthcare inequalities and improving access for all residents, regardless of their location. This research contributes to the growing body of evidence emphasizing the role of spatial analysis in assessing public service accessibility and supports the development of more equitable healthcare systems at the local level. Full article

Background/Objectives: Access to specialized care for patients with cognitive impairment in remote areas is often limited. Despite the increasing adoption of telemedicine, standardized guidelines have not yet been specified. This study aimed to develop a comprehensive protocol for the specialized neurological, neuropsychological, and neuropsychiatric assessment of patients with cognitive disorders in remote areas through telemedicine. Methods: We analyzed data from (i) a comprehensive literature review of the existing recommendations, reliability studies, and telemedicine models for cognitive disorders, (ii) insights from a three-year experience of a specialized telemedicine outpatient clinic for cognitive movement disorders in Greece, and (iii) suggestions coming from dementia specialists experienced in telemedicine (neurologists, neuropsychologists, psychiatrists) who took part in three focus groups. A critical synthesis of the findings was performed in the end. Results: The final protocol included: technical and organizational requirements (e.g., a high-resolution screen and a camera with zoom, room dimensions adequate for gait assessment, a noise-canceling microphone); medical history; neurological, neuropsychiatric, and neuropsychological assessment adapted to videoconferencing; ethical–legal aspects (e.g., data security, privacy, informed consent); clinician–patient interaction (e.g., empathy, eye contact); diagnostic work-up; linkage to other services (e.g., tele-psychoeducation, caregiver support); and instructions for treatment and follow-up. Conclusions: This protocol is expected to serve as an example of good clinical practice and a source for official telemedicine guidelines for cognitive disorders. Ultimate outcomes include the potential enhanced access to specialized care, minimized financial and logistical costs, and the provision of a standardized, effective model for the remote diagnosis, treatment, and follow-up. This model could be applied not only in Greece, but also in other countries with similar healthcare systems and populations living in remote, difficult-to-access areas. Full article

Background/Objectives: Hard-to-heal wounds are resistant to standard treatments and significantly impact patients’ quality of life and healthcare costs. Photobiomodulation with blue light has shown potential in wound healing, but evidence in wounds persisting for extended periods is limited. This pilot study evaluated the effectiveness of an accelerated photobiomodulation protocol in patients with hard-to-heal wounds in a nurse-led outpatient setting. Methods: Eleven patients with venous, lymphatic, diabetic, or mixed etiology wounds, unhealed for at least two years, were recruited from two clinics in the North District of the ASL Città di Torino. Participants received twice-weekly sessions of blue light photobiomodulation (EmoLED™, 400–430 nm lasting 60–120 s) for four weeks, in addition to standard care. The wound area was measured at baseline, week 4, and week 12 using the CutiMed Wound Navigator^® Version 2.2.8. The secondary endpoints included pain, wound exudate quantity and quality, and the surrounding skin condition. Results: All participants (average wound duration 5.9 years; mean area 13.1 cm², SD ± 14.4) completed the treatment; two were lost at follow-up due to unrelated clinical events. No adverse reactions were reported. At week 4, an area reduction was shown in 9 of 11 wounds (mean: 9.5 cm², SD ± 11.4), though not statistically significant (p = 0.240). At week 12, a significant reduction was observed (mean: 7.2 cm², SD ± 13; p = 0.04), with a mean percentage area decrease of 40.5%. Significant improvements were also noted in pain levels, exudate characteristics, and surrounding skin conditions over time. Conclusions: Accelerated blue light photobiomodulation appears to support long-term wound healing and symptom improvement in patients with hard-to-heal wounds. These findings warrant confirmation in larger, controlled studies. Full article

Anorexia Nervosa (AN) is a psychiatric illness with serious medical and physiological implications. Anorexia Nervosa is characterised by significant disruptions in weight, growth and physical health resulting from disordered behaviours such as food restriction, purging and inappropriate exercise. The illness is associated with substantial physical, psychological, social and economic burdens affecting all areas of functioning. Typically emerging in adolescence, AN can have a chronic course and high risk of mortality, with evidence suggesting that approximately 10% of individuals diagnosed with AN will die from medical complications or completed suicide. Whilst inpatient treatment reduces mortality risks through nutritional and weight restoration, outpatient treatment is the preferred level of intervention. In the case of adolescents, family-based treatment (FBT) is the recommended and most researched outpatient model for medically stable adolescents. However, access to FBT is limited, and there are several barriers that exist to receiving care from trained clinicians. This review provides a literature update on studies reporting the real-world access challenges for FBT, with particular attention paid to non-research settings. The review also highlights how digitally delivered treatment, specifically telehealth, has been used to increase access to FBT and examines the preliminary outcomes of telehealth-delivered FBT, which appear comparable to traditional in-person care. Despite these promising findings, provider, intervention and systemic factors have challenged the delivery of traditional in-person and telehealth FBT in real-world settings. Critical areas for future research include the need to understand the impact of potential confounders and what adaptions may be required to increase model feasibility in community settings, where access to specialist services is often limited and access challenges are most felt. Full article

Background/Objectives: The COVID-19 pandemic exposed critical vulnerabilities in healthcare systems, especially in ensuring continuity of care for patients with chronic diseases. Rehabilitation services, essential for recovery following SARS-CoV-2 infection, were among the most disrupted. This exploratory study aimed to assess Romanian patients’ perceptions of the accessibility and quality of post-COVID-19 rehabilitation services, focusing on individuals with chronic conditions. Methods: This exploratory cross-sectional study was conducted over a 12-month period in 2024. Data were collected from 76 adult patients diagnosed with at least one chronic condition (hypertension, diabetes mellitus, ischemic heart disease, cancer, or chronic obstructive pulmonary disease) and with confirmed prior SARS-CoV-2 infection. Most participants were recruited during outpatient specialty consultations, with a smaller number included from hospital settings, all located in Bucharest. A structured questionnaire was administered by the principal investigator after obtaining informed consent. Quantitative data were analyzed using non-parametric methods following confirmation of non-normal distribution via the Shapiro–Wilk test (p < 0.05). Satisfaction scores were reported as medians with interquartile ranges (IQR), and group comparisons were performed using the Mann–Whitney U test. A mixed-methods approach was employed, including thematic analysis of open-ended responses. Results: Patient satisfaction with rehabilitation services was consistently low. The median satisfaction scores [IQR] were accessibility 1.0 [0.0–2.0], quality of services 0.0 [0.0–4.0], staff empathy 0.0 [0.0–5.0], and perceived effectiveness 0.0 [0.0–5.0]. The median score for perceived difficulties in access was 1.0 [1.0–2.0], indicating widespread barriers. No statistically significant differences were observed between urban and rural participants or across chronic disease categories. Thematic analysis (n = 65) revealed key concerns including lack of publicly funded services, cost barriers, limited physician referral, service scarcity in rural areas, and demand for home-based rehabilitation options. Conclusions: Romanian patients with chronic illnesses and previous SARS-CoV-2 infection continue to face substantial barriers in accessing post-COVID-19 rehabilitation services. These findings highlight the need for more equitable and integrated recovery programs, especially for vulnerable populations in underserved settings. Full article

Background: Health inequality is seen as a challenge for implementing the Healthy China Strategy. This study analyzes the income-related health inequality among urban–rural resident basic medical insurance (URRBMI) participants. Methods: This study utilized data from the 2019 China Household Finance Survey (CHFS), and the concentration index (CI) was employed to estimate the effects of income-related health inequality on participants. Results: Our findings provide clear evidence that health inequality among participants has fluctuated—narrowing, widening, and then narrowing again—in the areas of the contribution, medical treatment, and reimbursement of URRBMI, respectively. Overall, the analysis indicates a widening of health inequality post-reimbursement, with results remaining consistent. A heterogeneity analysis shows that health inequality is most pronounced among women and those with less than a middle school education. Finally, our study reveals a pro-rich trend in the actual utilization of medical services among participants, with persistent disparities in outpatient and inpatient service usage even after standardization, further exacerbating income-related health inequality. Conclusions: We recommend that the URRBMI design take participants’ income levels into account, with policies favoring disadvantaged individuals to enhance their medical security, improve access to healthcare services, and ultimately reduce health inequality. Full article

Background and Objectives: Traditionally, we evaluate the size of a wound by using Opsite Flexigrid transparent film dressing, placing it over the wound, tracing the edges of the wound, and then calculating the area. However, this method is both time-consuming and subjective, often leading to varying results depending on the individual performing the assessment. In this study, our goal is to provide an objective method to calculate the wound size and solve variations in photo-taking distance caused by different medical practitioners or at different times, as these can lead to inaccurate wound size assessments. To evaluate this, we employed K-means clustering and used a QR code as a reference to analyze images of the same wound captured at varying distances, objectively quantifying the areas of 40 wounds. This study aims to develop an objective method for calculating the wound size, addressing variations in photo-taking distance that occur across different medical personnel or time points—factors that can compromise measurement accuracy. By improving consistency and reducing the manual workload, this approach also seeks to enhance the efficiency of healthcare providers. We applied K-means clustering for wound segmentation and used a QR code as a spatial reference. Images of the same wounds taken at varying distances were analyzed, and the wound areas of 40 cases were objectively quantified. Materials and Methods: We employed K-means clustering and used a QR code as a reference to analyze wound photos taken by different medical practitioners in the outpatient consulting room. K-means clustering is a machine learning algorithm that segments the wound region by grouping pixels in an image according to their color similarity. It organizes data points into clusters based on shared features. Based on this algorithm, we can use it to identify the wound region and determine its pixel area. We also used a QR code as a reference because of its unique graphical pattern. We used the printed QR code on the patient’s identification sticker as a reference for length. By calculating the ratio of the number of pixels within the square area of the QR code to its actual area, we applied this ratio to the detected wound pixel area, enabling us to calculate the wound’s actual size. The printed patient identification stickers were all uniform in size and format, allowing us to apply this method consistently to every patient. Results: The results support the accuracy of our algorithm when tested on a standard one-cent coin. The paired t-test comparing the first and second photos shot yielded a p-value of 0.370, indicating no significant difference between the two. Similarly, the t-test comparing the first and third photos shot produced a p-value of 0.179, also showing no significant difference. The comparison between the second and third photos shot resulted in a p-value of 0.547, again indicating no significant difference. Since all p-values are greater than 0.05, none of the test pairs show statistically significant differences. These findings suggest that the three randomly taken photo shots produce consistent results and can be considered equivalent. Conclusions: Our algorithm for wound area assessment is highly reliable, interchangeable, and consistently produces accurate results. This objective and practical method can aid clinical decision-making by tracking wound progression over time. Full article

Background: Diabetic neuropathy, particularly in its autonomic form, is often underdiagnosed despite its clinical significance. Electrochemical skin conductance (ESC), measured by SUDOSCAN, offers a non-invasive way to assess the autonomic dysfunction. Methods: A total of 288 diabetic patients were assessed using SUDOSCAN to measure ESC in the hands and feet. Clinical and laboratory parameters, including glycated hemoglobin (HbA1c), body mass index (BMI), blood pressure, lipid profile, and cardiovascular risk, were analyzed for correlations with ESC. Neuropathy status was evaluated, and ROC analysis was performed to assess diagnostic accuracy. Results: Sudomotor dysfunction was prevalent, particularly in patients with a diabetes duration exceeding 20 years (p < 0.05). Men showed significantly higher right foot ESC than women (76.5 ± 13.1 vs. 74.0 ± 13.5 µS, p = 0.041). A strong inverse correlation was found between cardiovascular risk score and right foot ESC (r = −0.455, p < 0.001). Left foot ESC also correlated inversely with cardiovascular risk (r = −0.401, p < 0.001) and HbA1c (r = −0.150, p = 0.049), while a weak positive correlation was seen with BMI (r = 0.145, p = 0.043). ROC analysis showed the highest area under the curve (AUC) in right foot ESC for autonomic neuropathy (AUC = 0.750, 95% CI: 0.623–0.877, p < 0.001). Conclusions: This study is among the few to systematically correlate ESC with validated cardiovascular risk scores in a diabetic outpatient cohort, highlighting its potential as a novel early screening biomarker for autonomic and cardiovascular complications. Full article

Background/Objectives: In 2022, over 200 million outpatient antibiotic prescriptions were written in the U.S., with 30% deemed unnecessary. Previous studies have shown that demographic factors, such as age, gender, and race, influence antibiotic prescribing patterns. However, few studies have examined how social determinants of health contribute to health inequities in antibiotic prescribing. This study aims to explore these disparities in Tennessee using IQVIA data. Methods: The Tennessee Department of Health conducted a cross-sectional study using the IQVIA LRx and Dx databases, linking prescription data to diagnoses from 2022. Antibiotic prescriptions were categorized into three tiers based on appropriateness. A multivariable logistic regression model assessed factors such as age, gender, insurance type, and social vulnerability index (SVI) on antibiotic prescribing patterns. Results: Of 2,874,505 prescriptions analyzed, 59.3% were classified as inappropriate (Tier 3). Female patients and children were less likely to receive inappropriate antibiotics. Patients in lower SVI areas, indicating less social disadvantage, had lower odds of receiving unnecessary prescriptions. Medicaid and Medicare Part D beneficiaries had higher odds of receiving inappropriate antibiotics compared to those with private insurance. Conclusions: This study highlights significant health disparities in outpatient antibiotic prescribing in Tennessee. Male patients, older adults, and individuals in socioeconomically vulnerable areas are more likely to receive inappropriate prescriptions. These findings stress the need for targeted public health interventions to reduce unnecessary antibiotic use and address underlying health inequities, ultimately improving healthcare outcomes and reducing antimicrobial resistance. Full article

Background and Objectives: Chronic kidney disease-associated pruritus (CKD-aP) is a burdensome symptom associated with impaired patient-reported outcomes. There is a paucity of research in this area with unclear aetiology, under-reporting of this symptom, and limited treatment options and management strategies in clinical settings. The objective of this study was to investigate the prevalence of CKD-aP, patient and dialysis-related factors associated with the occurrence of CKD-aP, and the correlation between CKD-aP severity and quality of life, sleep, anxiety, and depression. Materials and Methods: This cross-sectional study was conducted in 88 adult (≥18 years) patients undergoing haemodialysis at the outpatient dialysis centre at a major Australian tertiary care university teaching hospital. Demographic- and dialysis-related factors were obtained from electronic medical records and/or patients, while patient outcomes were determined from the self-reported questionnaires; 5-D itch scale, EQ-5D-5L, Patient Health Questionnaire-9, and Beck Anxiety Inventory. We compared demographic, patient-, and dialysis-related factors associated with CKD-aP. Results: Out of 88 patients, 67 (76%) agreed to participate in the study. In total, 27 patients (40%) reported having CKD-aP. Most participants experienced moderate CKD-aP severity (n = 12), followed by severe or very severe (n = 9) and mild (n = 6) symptoms. Whilst there was no significant difference in the demographic characteristics, number of medications, dialysis vintage, and Kt/V, a higher number of pruritic participants experienced obstructive sleep apnoea. There was a statistically significant correlation between CKD-aP severity and depression scores (p = 0.009). However, there were no significant correlation between CKD-aP and HRQOL (p = 0.506). The correlations between CKD-aP severity and outcomes such as sleep and anxiety were also not statistically significant, although they were marginally close (p = 0.069 and p = 0.095, respectively). Conclusions: This study reports a substantial prevalence of CKD-aP reported among patients undergoing HD and the association of severe CKD-aP with depression. Despite the limitation of a small sample size from a single dialysis centre, our findings suggest that the severity of CKD-aP may have implications for patient-reported outcomes. This warrants further investigation in larger-scale studies to better understand the association and optimise outcomes. Full article

Background: Left ventricle (LV) systolic dysfunction, defined as a global (LVejection fraction, LVEF < 50%) and/or regional wall motion abnormalities (RWMA), are the major parameters assessed in patients with cardiovascular diseases. The study evaluated the predictive value of LV systolic dysfunction for non-ischemic myocardial injury (presence of myocardial fibrosis/scar) in patients with suspected myocarditis. Methods: This was a multicenter, observational, retrospective study (2018–2021) of stable outpatients with clinically suspected myocarditis referred for a contrast-enhanced CMR. Patients with a history of any other significant cardiovascular disorders were excluded from the study. In each patient, the LV systolic function (LVEF, RWMA) and the presence and severity of late gadolinium enhancement (LGE) were assessed by CMR. Results: A total of 773 consecutive patients were enrolled in the study. The average LVEF was 58 ± 10%, and systolic dysfunction was observed in 95 cases (12%). Subsequently, 456 patients (59%) with confirmed non-ischemic LGE in at least one segment were included in the study group. The average LVEF was 57 ± 11%, with LV systolic dysfunction observed in 126 (28%) individuals with RWMA and 84 (18%) with LVEF < 50%. The median number of LV segments with LGE was 3 (2–5), and the total amount of LGE was 6% (3–10) of the LV mass. The wall motion score index (WMSI) > 1 and LVEF < 56% were the best predictors of non-ischemic injury based on LGE (area under the curve [AUC] 0.62; sensitivity 31%; specificity 94%; p < 0.001 and AUC 0.59; sensitivity 42%; specificity 75%, p < 0.001, respectively). Conclusions: In stable patients with suspected myocarditis, any RWMA and LVEF < 56% had a predictive value for a non-ischemic myocardial injury as assessed by CMR. Full article

Alterations in static plantar pressure distribution serve as important indicators of gait and balance impairments in individuals with Multiple Sclerosis (MS). In addition, the identification of altered patterns of plantar load distribution, along with restricted ankle dorsiflexion, may serve as early markers of postural instability and gait dysfunction in women with MS. Objectives: To assess differences in static plantar pressure, load distribution, and ankle dorsiflexion range of motion between women diagnosed with MS and women without the condition. Methods: A cross-sectional observational study was conducted between April and December 2024. Women with MS were recruited from patient associations in the provinces of Alicante and Murcia, as well as from the neurology outpatient clinic at the Doctor Balmis University Hospital (Alicante, Spain). Static postural assessment was performed using the Neo-Plate^® pressure platform, which measured maximum and mean plantar pressure (kPa), load distribution (%), contact surface area (cm²), and anterior–posterior weight distribution between the forefoot and rearfoot. The ankle dorsiflexion range of motion was assessed with a universal two-arm goniometer. All parameters were compared with those of a group of women without a diagnosis of MS. Results: Compared to women without MS, participants with MS showed a significantly greater load on the right forefoot (25.75% vs. 23.41%, p = 0.021), and reduced load on the right (23.09% vs. 26.01%, p = 0.004) and left rearfoot (26.60% vs. 30.85%, p = 0.033). Total forefoot loading was significantly higher (52.33% vs. 46.40%, p < 0.001), and rearfoot loading was lower (47.64% vs. 52.42%, p = 0.006) in the MS group. Ankle dorsiflexion range of motion was also significantly reduced in women with MS, both with the knee flexed (5.95° ± 4.50 and 6.76° ± 4.69 vs. 15.45° ± 5.04 and 14.90° ± 5.43) and extended (2.69° ± 3.69 and 3.12° ± 3.83 vs. 8.17° ± 3.41 and 8.60° ± 3.31), with all differences reaching statistical significance (p < 0.001). Conclusions: Women with MS present significant alterations in static plantar load distribution, with increased forefoot and decreased rearfoot loading, as well as markedly reduced ankle dorsiflexion, in comparison to women without the disease. These findings suggest the presence of postural imbalances associated with MS, potentially affecting functional stability and mobility. Full article

Background: Respiratory droplets are the main way in which the COVID-19 pandemic’s causal agent, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), spreads. Angiotensin-converting enzyme 2 (ACE2) receptors, especially in lung cells, allow the virus to enter host cells. However, ACE2 expression in intestinal cells has sparked worries about possible fecal transfer, particularly in poor-sanitation areas like India. Methods: Between July 2021 and July 2024, clinical (nasopharyngeal, saliva, and stool samples) and sewage samples were collected from outpatient departments and sewage treatment plants (STPs), respectively, from the high-population-density area under study in order to investigate SARS-CoV-2 transmission. Results: This proof-of-concept study analyzed clinical samples from n = 60 COVID-19-positive patients at a central Indian tertiary care hospital and n = 156 samples from hospital STPs. Variants of SARS-CoV-2 were found using qRT-PCR and Next-Generation Sequencing (NGS). Of the n = 37 qRT-PCR-positive patients who gave their assent, 30% had stool samples that tested positive for viral RNA. In 70% of positive NP and 65% of positive saliva samples, along with two stool samples from immunocompromised patients, the live virus was identified using Vero E6 cell lines. Although 18% of the tests reported qRT-PCR-positive results, no live virus was detected in sewage samples despite NGS validation. The detection of SARS-CoV-2 in the absence of confirmed clinical cases may indicate the silent circulation of the virus within the community, suggesting that sewage surveillance can serve as an early warning system before an outbreak occurs. Conclusions: These findings provide critical insights into the importance of continuous environmental surveillance, silent virus circulation, changes in viral epidemiology throughout the years, and strategies to mitigate coronavirus outbreaks. Full article

Colorectal cancer (CRC) continues to impart a significant mortality burden in the United States, with a growing number of cases affecting younger individuals. In this study, we set out to characterize predictors of missed colorectal cancer screening in a general and age-stratified population. Methods: We analyzed a patient population of over 85,000 patients who presented to a large outpatient network in the Baltimore, Maryland area and were due for CRC screening. We analyzed different characteristics, including race, occupation, relationship status, tobacco smoking status, and body mass index, of patients up to date and overdue on their CRC screening. The majority (over 99%) of our patient population was insured. We performed this analysis on the patient population as a whole and as an age-stratified patient population. Results: In our overall patient population, all of the aforementioned characteristics were significantly different between patients up to date and those overdue on CRC screening. Races with the highest up-to-date CRC screening proportion were Pacific Islanders, East Asian, and White patients, while Asian Indian patients had the lowest up-to-date percentage. Non-employed patients (including patients with disabilities and students), single patients, and current or past tobacco smokers were all found to have significantly lower percentages of up-to-date patients as compared to other groups within these categories. BMI was significantly lower in up-to-date patients. In our age-stratified analysis, younger patients had a significantly lower percentage of up-to-date patients. Notably, younger patients had a significantly higher proportion of patients electing for noninvasive screening modalities. Conclusions: These disparities in CRC screening warrant targeted interventions to minimize future risk of heightened mortality in certain patient populations. Full article