Medication Usage Research Articles

Gonioscopy-assisted transluminal trabeculotomy (GATT) with scleral or iris fixation for subluxated intraocular lenses and glaucoma.

This retrospective chart review aims to report a combined surgical approach of intraocular lens (IOL) fixation and gonioscopy-assisted transluminal trabeculotomy (GATT) for the treatment of subluxated IOLs and glaucoma or ocular hypertension. Charts of patients who underwent IOL fixation combined with GATT between November 2019 and July 2023 were reviewed. The main outcome measure was surgical success, defined as a well-centered IOL and an IOP of 18 mmHg or lower and either a 30% IOP reduction or a reduction in medications as compared to baseline. Complications and the need for reoperation were recorded. Eleven patients who underwent GATT with IOL fixation were included. The mean age was 80.45 years (range: 73-90). IOL subluxation was associated with pseudoexfoliation in all cases. Seven patients underwent scleral fixation, and four underwent iris fixation. The mean follow-up was 15.36 (range: 2.7-26.6) months. The success rate was 72.73%. The mean baseline IOP was 20.63 ± 6.56 mmHg on 2.81 ± 1.53 medications. Four patients were on oral carbonic-anhydrase inhibitor (CAI) before surgery. The mean IOP at the end of the follow-up was 13.86 ± 3.5 mmHg on 1.36 ± 1.57 medications, and none were on oral CAIs. No intraoperative complications occurred, and transient hyphema and vitreous hemorrhage were the most common postoperative complications. All patients had a well-centered IOL. No patients needed additional surgery for IOL position or IOP control. The mean corrected distance visual acuity was 0.634 ± 0.62 logMAR at baseline and 0.36 ± 0.38 at the end of follow-up. GATT can be combined with IOL fixation to the sclera or iris to effectively reduce IOP and medication usage.

Three-month treatment outcome of medication-overuse headache according to classes of overused medications, use of acute medications, and preventive treatments

Medication overuse headache (MOH) is a chronic headache disorder that results from excessive use of acutely symptomatic headache medications, leading to more frequent and severe headaches. This study aims to assess the 3-month treatment outcomes in MOH patients, focusing on the types and usage of overused medications, as well as preventive treatments. This prospective cross-sectional study analyzed the treatment outcomes of 309 MOH patients from April 2020 to March 2022. Patients were advised to discontinue overused medications immediately and offered preventive treatments based on clinical judgment. Data on headache characteristics, medication use, and impact on daily life were collected at baseline and 3 months. Results showed overall significant improvements in headache-related variables in patients completing the 3-month treatment follow-up. The median number of headache days per month decreased from 15 days at baseline to 8 days after 3 months (p < 0.001). Patients who overused multiple drug classes demonstrated increased disability levels (mean Headache Impact Test-6 score: 62 at baseline vs. 56 at 3 months, p < 0.01). Those who continued overusing medications reported more days of severe headache (mean 18 days at baseline vs. 14 days at 3 months, p < 0.05) and greater impact (mean Migraine Disability Assessment score: 35 at baseline vs. 28 after 3 months, p < 0.05) compared to the baseline. Differences in headache outcomes were evident across different preventive treatment groups, with generalized estimating equation analyses highlighting significant associations between clinical characteristics, overused medication classes, and preventive treatments. Most MOH clinical features significantly improved after 3 months of treatment. However, notable interactions were observed with certain clinical presentations, suggesting possible influences of overused medication classes, usage patterns, and preventive treatment types on MOH treatment outcomes. This study underscores the importance of individualized treatment strategies and the potential benefits of discontinuing overused medications.

Associations of very low Lipoprotein(a) levels with risks of new-onset diabetes and non-alcoholic liver disease

Background and aimsWe aimed to study the association of very low serum Lipoprotein(a) [Lp(a)] concentrations with new-onset type 2 diabetes (T2D) and non-alcoholic liver disease (NAFLD) in the context of statin usage in the UK Biobank, a large prospective population cohort. MethodsUsing an extended biomarker dataset, we identified 47,362 participants with very low Lp(a) concentrations (<3.8 nmol/L) from a total of 451,479 participants. With a median follow-up of 12.3 years, we assessed the risk of new-onset cardiometabolic diseases in participants stratified by statin usage with Cox proportional hazards models. We performed two-sample Mendelian randomization MR analyses to test causal relationship between genetically predicted Lp(a) and T2D and NAFLD. ResultsTaking the participants with Lp(a) within reportable range as the reference group, the hazard ratios (HR) for T2D were 1.07 (95 % confidence interval, CI 1.01–1.13) and for NAFLD 1.30 (95 % CI 1.20–1.41) respectively for participants with very low Lp(a) (<3.8 nmol/L). The risk for new-onset T2D was higher in participants using statins (adjusted HR 1.15; 95 % CI 1.05–1.27). The risk estimates for new-onset NAFLD were comparable in the analysis stratified by statin use. There was no evidence for causal links between genetically predicted Lp(a) and T2D nor NAFLD in two-sample MR analyses. ConclusionsVery low Lp(a) was associated with higher risks of T2D and NAFLD in a prospective analysis of the UK Biobank. The association with T2D was influenced by lipid lowering medication usage. MR analyses did not support causality for these inverse associations.

Impact of Bariatric Surgery on Asthma Severity and Medication Use.

Bariatric surgery improves many obesity-related comorbidities, yet the literature remains inconclusive on the impact of bariatric surgery on asthma. Our primary objective was to identify the long-term impact of bariatric surgery on asthma severity and medication use. A retrospective review was completed of all patients with a diagnosis of asthma who underwent bariatric surgery over 10years at a single institution. Primary outcomes were the number of asthma medications prescribed at five time points (preoperative, postoperative < 18months, 19-36months, 37-60months, 60 + months) after bariatric surgery. Secondary outcomes were spirometry results and BMI. There were 260 patients with 84.6% female predominance. There were 168 sleeve gastrectomy patients and 92 Roux-en-Y gastric bypass patients. Mean age was 47.6 ± 10.7years, mean BMI was 46.0 ± 6.8kg/m2, and 54.2% were previous tobacco users. The total number of patients on two or more asthma medications decreased from 46% preoperatively to 41% at 18months, to 36% at 36months, and to 32% at 60months after surgery. The total number of patients free from asthma medication increased from 25% preoperatively to 33% at 60months postoperatively. Asthma medication use decreased in both surgery groups, and neither operation demonstrated superiority. No significant improvement nor differences were found between groups at any time point regarding FEV1/FVC ratio spirometry measures. Bariatric surgery reduces the use of medications taken for management of asthma. The amount of asthma medication usage decreases with time and is sustained at 60months after bariatric surgery.

Novel model to authenticate role-based medical users for blockchain-based IoMT devices.

The IoT (Internet of Things) has played a promising role in e-healthcare applications during the last decade. Medical sensors record a variety of data and transmit them over the IoT network to facilitate remote patient monitoring. When a patient visits a hospital he may need to connect or disconnect medical devices from the medical healthcare system frequently. Also, multiple entities (e.g., doctors, medical staff, etc.) need access to patient data and require distinct sets of patient data. As a result of the dynamic nature of medical devices, medical users require frequent access to data, which raises complex security concerns. Granting access to a whole set of data creates privacy issues. Also, each of these medical user need to grant access rights to a specific set of medical data, which is quite a tedious task. In order to provide role-based access to medical users, this study proposes a blockchain-based framework for authenticating multiple entities based on the trust domain to reduce the administrative burden. This study is further validated by simulation on the infura blockchain using solidity and Python. The results demonstrate that role-based authorization and multi-entities authentication have been implemented and the owner of medical data can control access rights at any time and grant medical users easy access to a set of data in a healthcare system. The system has minimal latency compared to existing blockchain systems that lack multi-entity authentication and role-based authorization.

Lymphocyte-to-C-reactive protein ratio and score in patients with heart failure: Nutritional status, physical function, and prognosis.

In heart failure (HF), inflammation is linked to malnutrition and impaired physical function. In this study, we aimed to assess how novel nutritional-inflammatory markers and lymphocyte-to-C-reactive protein ratio (LCR) and score (LCS) are associated with the nutritional status, physical function, and prognosis of patients with HF. This study was a secondary analysis of the FRAGILE-HF study, a prospective observational study conducted across 15 hospitals in Japan. We included 1212 patients (mean age, 80.2±7.8years; 513 women) hospitalized with HF, who were classified into three groups according to their LCS score: 0 (n=498), 1 (n=533), and 2 (n=181). Baseline data on physical examination, echocardiography, blood test results (including lymphocyte counts and CRP levels), and oral medication usage were collected in a clinically compensated state before discharge. Nutritional status and physical function were evaluated using several indices and tests. The primary outcome of this study was all-cause death within 2years. Univariate and multivariate linear regression analyses were performed to evaluate the associations among the nutritional status, physical function, and LCR/LCS. Patients with an LCS score of 2 were older and had a lower body mass index than those in the other two groups. Multivariate linear regression analysis revealed that lower LCR and higher LCS were independently associated with worse nutritional status, lower handgrip strength, shorter physical performance battery score, and shorter 6-min walk distance. At 2years, all-cause death occurred in 254 patients: 86 (17.6%), 113 (21.5%), and 55 (30.9%) with LCS scores of 0, 1, and 2, respectively (P=0.001). Cox proportional hazards analysis revealed that LCR and LCS were significantly associated with 2-year mortality even after adjusting for the conventional risk model (LCS score, 0 vs. 2: hazard ratio, 1.64; 95% confidence interval [CI]; 1.14-2.35; P=0.007; log-transformed LCR: hazard ratio, 0.88; 95% CI, 0.81-0.95; P=0.002). LCR yielded additional prognostic predictability compared with the conventional risk model (continuous net reclassification improvement, 0.153; 95% CI, 0.007-0.299; P=0.041). LCR and LCS emerge as potential predictors of nutritional status, physical function, and prognosis in older patients with HF.

Kindergarten Readiness Assessment Scores in Children who Received Early Life Mechanical Ventilation in the Pediatric Intensive Care Unit

AbstractThe impact of prolonged sedative medication usage on cognitive outcomes of young pediatric intensive care unit (PICU) patients has been incompletely assessed. We aim to assess the feasibility of linking an electronic medical record (EMR) system and a regional database to evaluate performance on standardized testing among PICU survivors. This is a single-center data-linkage study between EMR records and the Child and Household Integrated Longitudinal Data (CHILD) system, which links individual-level data across 35 administrative systems including Kindergarten Readiness Assessment (KRA) scores. The study was performed at a tertiary PICU in Cleveland, Ohio, United States with children born in 2011 or 2012 who received invasive mechanical ventilation and sedation before the age of 3 years in our PICU. We evaluated rate of “on-track” KRA scores, chronic absenteeism, and repeat kindergarten in the study population compared with a propensity score matched cohort from CHILD. Of 182 eligible PICU patients, 98 (54%) had a record identified in CHILD, and 32 had KRA scores available and sufficient data for propensity score matching. Compared with 160 matched controls, PICU patients had a lower rate of “on-track” scores (7/32 [22%] vs 102/160 [64%], p &lt; 0.001) and more chronic absenteeism (14/32 [44%] vs. 34/160 [22%], p = 0.007). There was no difference in rates of repeat kindergarten (8/32 [25%] vs. 36/160 [23%], p = ;−0.759). We determined that linking hospital EMR records to regional databases is a feasible method to explore PICU outcomes. Additional studies are needed to confirm our preliminary finding of poor performance compared with matched controls.

Patient-centric comparative analysis of experiences in open upright and conventional closed MRI scanners

IntroductionMRI often induces anxiety, leading to incomplete scans and claustrophobia-related distress. Open MRI systems aim to enhance patient comfort. This study examines how prior MRI experiences impact subsequent encounters in an open upright MRI scanner. MethodsIn this cross-sectional study, 118 adult patients completed a self-administered questionnaire from August 2022 to October 2023. It covered previous MRI experiences, including questions about claustrophobia, premature scan terminations, sedative medication usage, general MRI experiences, and interactions with radiology technologists. ResultsPatients in open upright MRI reported less claustrophobia compared to closed MRI systems (18.4% vs. 58.3%), fewer premature scan terminations (5.3% vs. 31.0%), and less sedative use (5.3% vs. 46.9%). Moderate positive correlations were found between past and current claustrophobic events and premature scan terminations. Effective communication with radiology technologists was essential for patient comfort and reduced claustrophobia. Scan duration and noise triggered discomfort in 26.1% and 21.6% of study participants respectively. Persons without prior MRI experience were more satisfied with the examination and expressed no clear preference for future MRI settings, contrasting those with previous exposure favoring the open MRI setup. ConclusionThe study emphasizes the benefits of open upright MRI for high-risk claustrophobic patients. It identifies the lasting impact of negative MRI experience on future examinations and highlights the crucial role of radiology technologists. Implications for practiceIntegrating open MRI scanners in medical facilities and prioritizing effective communication with radiology technologists enhances patient comfort. Positive experiences with open MRI may improve patient compliance and offer greater flexibility for future examinations.

Assessing the Impact of Non-Exhaust Emissions on the Asthmatic Airway (IONA) Protocol for a Randomised Three-Exposure Crossover Study.

People living with asthma are disproportionately affected by air pollution, with increased symptoms, medication usage, hospital admissions, and the risk of death. To date, there has been a focus on exhaust emissions, but traffic-related air pollution (TRAP) can also arise from the mechanical abrasion of tyres, brakes, and road surfaces. We therefore created a study with the aim of investigating the acute impacts of non-exhaust emissions (NEEs) on the lung function and airway immune status of asthmatic adults. A randomised three-condition crossover panel design will expose adults with asthma using a 2.5 h intermittent cycling protocol in a random order at three locations in London, selected to provide the greatest contrast in the NEE components within TRAP. Lung function will be monitored using oscillometry, fractional exhaled nitric oxide, and spirometry (the primary outcome is the forced expiratory volume in one second). Biomarkers of inflammation and airborne metal exposure will be measured in the upper airway using nasal lavage. Symptom responses will be monitored using questionnaires. Sources of exhaust and non-exhaust concentrations will be established using source apportionment via the positive matrix factorisation of high-time resolution chemical measures conducted at the exposure sites. Collectively, this study will provide us with valuable information on the health effects of NEE components within ambient PM2.5 and PM10, whilst establishing a biological mechanism to help contextualise current epidemiological observations.

"Don't think of a soda": Contradictory public health messaging from a content analysis of Twitter posts about sugar-sweetened beverage taxes in California from 2015 to 2018.

To show how sugar-sweetened beverage (SSB) taxes were framed in posts on Twitter (now known as X) through text and images, we conducted a content analysis on a sample of Tweets from California users posted between January 1, 2015 and December 31, 2018 about SSB taxes in Berkeley, San Francisco, Oakland, and/or Albany, California. We evaluated posts for information sources, arguments for or against SSB tax policies, and images used. We found that posts presented a mix of messages through text and images. The majority of posts (64%) included arguments supporting SSB taxes, 28% presented a neutral position (e.g., factual information) or a mix of both pro-and anti-tax arguments, and 8% opposed. One-third of posts included an image, almost half of which appeared to be stock photos from SSB advertisements: many of these were shared by medical and public health users. Some tax supporters also reposted messages and images from opposition campaigns and added their own criticisms. By reposting opponents' anti-tax messages and images of SSBs, tax supporters may have inadvertently promoted SSBs, reinforced opposition to SSB taxes, and normalized SSBs. While advocates effectively shared pro-tax arguments, they should also ensure that accompanying images reflect the solutions they seek, not just the problem they are trying to combat.

AI-empowered neural processing for intelligent human-machine interface and biomedical devices

AI-empowered neural processing for intelligent human-machine interface and biomedical devices Jie Gu, Associate Professor from Northwestern University, examines AI-empowered neural processing for intelligent human-machine interface and biomedical devices. Most conventional wearable devices rely on motion detection or image classifications to capture users’ activities. However, they lack the ability to decode neural signals generated by the human body. Neural signals, such as EEG, ECG, and EMG, offer a rich amount of information on a person’s physiological and psychological activities. Recognition and use of such signals present many new opportunities for applications in medical and daily commercial usage. Recently, artificial intelligence (AI) has been applied to neural signal processing, leading to a new generation of intelligent human-machine interfaces and biomedical devices.

Spectral changes in electroencephalography linked to neuroactive medications: A computational pipeline for data mining and analysis

Background and objectivesThe increasing amount of open-access medical data provides new opportunities to gain clinically relevant information without recruiting new patients. We developed an open-source computational pipeline, that utilizes the publicly available electroencephalographic (EEG) data of the Temple University Hospital to identify EEG profiles associated with the usage of neuroactive medications. It facilitates access to the data and ensures consistency in data processing and analysis, thus reducing the risk of errors and creating comparable and reproducible results. Using this pipeline, we analyze the influence of common neuroactive medications on brain activity. MethodsThe pipeline is constructed using easily controlled modules. The user defines the medications of interest and comparison groups. The data is downloaded and preprocessed, spectral features are extracted, and statistical group comparison with visualization through a topographic EEG map is performed. The pipeline is adjustable to answer a variety of research questions. Here, the effects of carbamazepine and risperidone were statistically compared with control data and with other medications from the same classes (anticonvulsants and antipsychotics). ResultsThe comparison between carbamazepine and the control group showed an increase in absolute and relative power for delta and theta, and a decrease in relative power for alpha, beta, and gamma. Compared to antiseizure medications, carbamazepine showed an increase in alpha and theta for absolute powers, and for relative powers an increase in alpha and theta, and a decrease in gamma and delta. Risperidone compared with the control group showed a decrease in absolute and relative power for alpha and beta and an increase in theta for relative power. Compared to antipsychotic medications, risperidone showed a decrease in delta for absolute powers. These results show good agreement with state-of-the-art research. The database allows to create large groups for many different medications. Additionally, it provides a collection of records labeled as “normal” after expert assessment, which is convenient for the creation of control groups. ConclusionsThe pipeline allows fast testing of different hypotheses regarding links between medications and EEG spectrum through ecological usage of readily available data. It can be utilized to make informed decisions about the design of new clinical studies.

Traditional Methods Hold Their Ground Against Machine Learning in Predicting Potentially Inappropriate Medication Use in Older Adults

ObjectivesMachine learning methods have gained much attention in health sciences for predicting various health outcomes but are scarcely used in pharmacoepidemiology. The ability to identify predictors of suboptimal medication use is essential for conducting interventions aimed at improving medication outcomes. It remains uncertain whether machine learning methods could enhance the identification of potentially inappropriate medication use among older adults compared with traditional methods. This study aimed to (1) to compare the performances of machine learning models in predicting use of potentially inappropriate medications and (2) to quantify and compare the relative importance of predictors in a population of community-dwelling older adults (>65 years) in the province of Québec, Canada. MethodsWe used the Québec Integrated Chronic Disease Surveillance System and selected a cohort of 1 105 295 older adults of whom 533 719 were potentially inappropriate medication users. Potentially inappropriate medications were defined according to the Beers list. We compared performances between 5 popular machine learning models (gradient boosting machines, logistic regression, naive Bayes, neural networks, and random forests) based on receiver operating characteristic curves and other performance criteria, using a set of sociodemographic and medical predictors. ResultsNo model clearly outperformed the others. All models except neural networks were in agreement regarding the top predictors (sex and anxiety-depressive disorders and schizophrenia) and the bottom predictors (rurality and social and material deprivation indices). ConclusionsIncluding other types of predictors (eg, unstructured data) may be more useful for increasing performance in prediction of potentially inappropriate medication use.

Impact of Medical Cannabis on Recovery from Playing-Related Musculoskeletal Disorders in Musicians: An Observational Cohort Study.

Playing-related musculoskeletal disorders (PRMDs) are musculoskeletal symptoms that interfere with the ability to play at the level a musician is accustomed to. Musicians have an 84% lifetime prevalence of PRMD. Many types of analgesia are inappropriate for this population due to their risks, but cannabidiol (CBD) has been shown to have anti-inflammatory properties and can reduce the perception of pain. Medical cannabis has also been shown to be safer than other analgesia in terms of serious adverse events. This study explores the impact of medical cannabis for PRMD on perceptions of pain and mental health outcomes. Participants (n = 204) completed questionnaires at baseline and six months: the Musculoskeletal Pain Intensity and Interference Questionnaire for Musicians (MPIIQM) and Depression, Anxiety and Stress Scale (DASS-21). Participants self-selected their group: non-cannabis users (n = 42), new medical cannabis users (n = 61), and long-term medical cannabis users (n = 101). Data were analyzed using paired t-tests for within-group and ANOVA for between-group differences. At six months, there was no difference (p = 0.579) in cannabidiol dose between new (24.87 ± 12.86 mg) and long-term users (21.48 ± 12.50 mg). There was a difference in tetrahydrocannabinol (THC) dose (p = 0.003) between new (3.74 ± 4.22 mg) and long-term users (4.41 ± 5.18 mg). At six months, new cannabis users had a significant reduction in pain intensity as measured by The Musculoskeletal Pain Intensity and Interference Questionnaire for Musicians (MPIIQM40) (p = 0.002). Non-users (p = 0.035), new users (p = 0.002), and long-term cannabis users (p = 0.009) all had significant reductions in pain interference (MPIIQM50) at six months. At six months, non-cannabis (p = 0.022) and long-term cannabis users (p = 0.001) had an improvement in DASS-21. The change in pain intensity was the only difference between groups, F(2, 201) = 3.845, p = 0.023. This difference was between long-term (0.83 ± 0.79) and new users (-2.61 ± 7.15). No serious adverse events occurred, and a minority experienced tiredness, cough, and dry mouth. This practice-based evidence demonstrated that the multidimensional approach to care provided by the Musicians' Clinics of Canada benefited all groups at six months. Medical cannabis significantly reduced pain intensity in new users of medical cannabis with PRMD, and all groups saw improvements in pain interference. In keeping with prior studies, medical cannabis seems to be effective at reducing perceptions of pain, including for PRMD. CBD/THC dosing was within guideline recommendations, and no patients experienced any serious adverse events. Limitations include multiple factors impacting patients' decisions to opt in or out of medical cannabis. These include cost, comorbidities, and disease chronicity. In conclusion, medical cannabis reduces pain intensity in new users, and when combined with a multidimensional approach to care, patients with PRMD can see improvements in pain as well as mental wellbeing.

Neuropsychiatric drugs and a neurophysiological marker as predictors of health-related quality of life in patients with phantom limb pain.

To explore the relationship between sociodemographic, clinical, and neurophysiological variables and health-related quality of life (HR-QOL) of patients with phantom limb pain. This is a cross-sectional analysis of a previous clinical trial. Univariate and multivariate linear and logistic regression analyses were used to model the predictors of HR-QOL. We utilized a sequential modeling approach with increasing adjustment levels, controlling for age and sex, and other relevant clinical variables (time since amputation, level of amputation, and pain). HR-QOL was assessed by the SF-36 Health Survey and its eight subdomains. We analyzed baseline data from 92 patients with lower-limb amputations. They were mostly male (63%), 45.2 ± 15.6 years, with a mean time since amputation of 82.7 ± 122.4 months, and an overall SF-36 score of 55.9 ± 21.5. We found an association between intracortical facilitation in the affected hemisphere (ICF), gabapentin usage, and HR-QOL. ICF is a predictor of better HRQOL, whereas gabapentin usage was associated with a poorer HR-QOL, with the main model explaining 13.4% of the variance in the outcome. For the SF-36 subdomains, ICF was also a positive predictor for social functioning, bodily pain, and vitality, while medication usage was associated with lower scores in mental health, general health perception, bodily pain, and vitality. We found firsthand two new independent predictors of HR-QOL in individuals with PLP, namely, the neurophysiological metric ICF and gabapentin usage. These results highlight the role of the motor cortex excitability in the HR-QOL and stress the need for treatments that favor the neuroplastic adaptation after amputation, for which ICF may be used as a possible marker.

Distribution of neuropsychiatric profiles and comorbid diseases in dementia subtypes

Objectives: Alzheimer’s disease (AH) is the most prevalent cause of dementia, followed closely by vascular dementia. Mixed vascular-Alzheimer’s dementia (MVAD) is more evident in individuals aged 80 and above. Frontotemporal dementia (FTD) is the second most common cause of early-onset dementia after AH. Vascular risk factors play important role in the pathogenesis of dementia syndromes. Behavioral and psychological symptoms represent a significant portion of the non-cognitive manifestations in dementia patients. This study aimed to evaluate the distribution of chronic diseases, behavioral disorders, psychiatric findings, and medication use in patients followed with different dementia diagnoses. Methods: Prevalance of chronic diseases, behavioral disorders, psychiatric findings as well as the usage of antidepressant and antipsychotic medications among patients followed up in dementia outpatient clinics with the diagnosis of AD, mild cognitive impairment (MCI), vascular dementia (VaD), FTD, and MVAD were investigated. Neuropsychiatric inventory (NPI) was applied to the patients. Results: Four hundred and fifty-five patients were accepted in the study. The patients were distributed as follows: AD (n=303, female/male: 187/115, age = 78±8 years), MCI (n=53, female/male: 31/22, age = 69±10 years), VaD (n=31, female/male: 18/13, age = 68±9 years), FTD (n=32, female/male: 17/15, age = 68±9 years), and MVAD (n=36, female/male: 16/20, age = 76±10 years). Both AD and MVAD groups were significantly older than the other groups (F = 23.2, P&amp;lt;0.0001). The ratio of comorbid chronic diseases was 80% in the AD group, 72% in the MCI group, 91% in the VaD group, 59% in the FTD group, and 93% in the MVAD group. In the whole group, antipsychotic drug use was 27.5% and antidepressant drug use was 28.9%. The mean NPI score was 32.9±28 in antipsychotic users and 16±19 in non-users (P&amp;lt;0.0001). The mean NPI of antidepressant users was 17.6±19 and 21.9±25 (P=0.055) in non-users. Conclusion: There is a comorbid chronic disease burden in all dementia subtypes, although at varying intensities, and as the chronic disease burden increases, behavioral disorders and psychotic findings increase, and accordingly, the use of antipsychotics also increases.

Prevalence and disease burden of chronic cough in nine cities of China: an observational study

BackgroundChronic cough (CC) is common in the general population of China, creating a difficult-to-ignore public health burden. However, there is a lack of research on the nationwide prevalence and disease burden of CC in the Chinese population. We aim to use an insurance claims database to assess the prevalence and the corresponding economic burden owing to CC in China.MethodsThis was a retrospective observational study based on an administrative medical insurance database in 2015, 2016 and 2017, from nine cities in North, South, East, South-West, and North-West regions of China. The study population was Chinese adults (≥ 18 years old) who had been identified as CC patients. Descriptive data analyses were used in statistical analysis.ResultsA total of 44,472, 55,565, and 56,439 patients with mean ages of 53.2 (16.3) years were identified as patients with CC in 2015, 2016, and 2017, respectively. Of these, 55.24% were women. In addition, 8.90%, 9.46%, and 8.37% of all patients in 2015, 2016, and 2017, who had applied for medical insurance, had CC, respectively, with a three-year average probability of 8.88%. The median number of outpatient visits within a calendar year was 27 per year due to any reason during the period of 2015–2017. The median medical cost of each patient per year increased from 935.30 USD to 1191.47 USD from 2015 to 2017.ConclusionCC is common among medical insurance users, with a substantial utilization of medical resources, highlighting the huge burden of CC in China.

Engagement of medication users in the development and implementation of digital medication adherence technologies: a multi-stakeholder study

ABSTRACT Background This study aims to create a comprehensive framework for the development and implementation of digital medication adherence technologies (DMATech), focusing on critical stages where engagement of medication users (MU) is considered meaningful, i.e. adds significant value, as agreed upon by participating stakeholders. Methods Through a literature review and expert consensus, a framework was outlined covering key DMATech development and implementation phases and steps. An in-person workshop with MU representatives and adherence experts, using the Nominal Group Technique, further refined these stages for MU engagement. Results The DMATech framework included three phases: ‘Innovation,’ ‘Research and Development,’ and ‘Launch and Implementation,’ each encompassing multiple steps. The workshop, attended by five MU representatives and nine adherence experts, identified critical stages for MU input including context analysis, ideation, proof of concept, prototype creation, DMATech’s iteration, critical evaluation, healthcare implementation, real-world assessment, and improvement. Nevertheless, there was a divergence of consensus regarding the importance of MUs engagement in regulatory, financial, and marketing aspects. Conclusions This study provides a holistic framework for DMATech development and implementation and underscores the necessity of MU engagement at various stages. Modes of MU engagement cannot be generalized; a case-by-case evaluation of engagement strategies is essential.

Neuromodulation in Management of Patients with Failed Back Surgery Syndrome. An Outcome Assessment Study

Abstract Background Failed back surgery syndrome (FBSS) is a constellation of conditions that describes persistent or recurring low back pain following spine surgeries with a reported point prevalence in the general adult population of 37% and a lifetime prevalence of between 60% and 85%. It always has a significant impact on patients’ quality of life. Neuromodulation such as spinal cord stimulation has been showing significant effect and improvement in pain scores and functional capacity of the FBSS patients with a reflected effect on their daily activities and quality of life. Aim and Objectives Our aim in this study is to assess the change in pain scores, quality of life and opioid medications intake as an outcome of neuromodulation procedures performed to patients diagnosed with failed back surgery syndrome, and to detect the post procedure complications. Subjects and Methods This is a mixed prospective-retrospective study conducted at Ain Shams University (ASU) hospital and Oregon Health and Science University (OHSU) hospital during the period from September 2019 till December 2022. Patients who are 18 years old or older diagnosed with FBSS for more than 6 months and treated with spinal cord stimulation with successful trials during this time frame were included in the study. Results 34 patients were included in this study who had successful SCS trials and underwent a permanent implantation of SCS devices with post procedure follow up period of 12 months. Patients showed median pain numerical rating scale (NRS) of 7/10 at baseline with median NRS of 4/10 through the follow up period, also, there was a significant improvement of functional capacity using metabolic equivalent assessment with 74% of patients became moderate capacity compared to 32% at baseline. Quality of life assessed by activity measure of post-acute care (AM-PAC) showed significant improvement from mean of 16.87 ± 2.74 at baseline to mean of 19.97 ± 2.93 through follow up. Also there was a significant reduction of opioid medication usage. Post procedure complications was of low percentage with the most commonly detected were battery dysfunction in 7 patients and pocket pain in 6 patients. Reoperation was needed in 13 patients with 4 needed just revision and 9 patients required a complete removal of the device. Conclusion Failed back surgery syndrome is a widely described chronic pain condition which has a negative impact on the patients’ quality of life and daily activities with an evidenced effect on chronic use and abuse of opioid analgesic medications. We presented in our study that SCS could be offered as an effective modality of treatment with a statistically significant reduction in pain scores and a significant improvement in functional capacity and quality of life. Also, it has a recognizable but not statistically significant reduction in opioid analgesic medications and a very low percentage of procedure related complications.

Association of focus score and extraglandular involvement in Sjögren's syndrome: A study on antinuclear antibodies and minor salivary gland pathology

Objectives: This study aimed to investigate the relationship between patients with and without extraglandular involvement in Sjögren's syndrome (SS) by analyzing ANA (antinuclear antibody) and ENA (extractable nuclear antigen) results and minor salivary gland pathology findings. Patients and methods: A total of 265 (245 females; 20 males; mean age: 50.4±12.4; range, 19 to 79 years) patients diagnosed with SS were included in the retrospective cohort study between March 1, 2011, and December 1, 2021. Detailed documentation was performed, capturing demographic characteristics, clinical information, laboratory findings, medication usage, and manifestations of the syndrome. The patients were divided into two groups, with (78 females; 8 males; mean age: 52.7±11.5; range, 22 to 78 years or without (167 females; 12 males; mean age: 49.3±12.8; range, 19 to 79 years extraglandular involvement. Results: The mean follow-up duration was 63.1±31.9 months. Extraganular involvement, including joint involvement, lung involvement, central nervous system involvement, hematological involvement, hepatitis, and lymphoma, was observed in 32.5% of the patients. Patients with extraglandular involvement required multiple medications, while those with only glandular involvement predominantly used hydroxychloroquine. The mean duration from SS diagnosis to extraglandular involvement was 15.2±27.8 months. The comparison between patients with and without extraglandular involvement revealed a significant association between higher focus scores (FS) and extraglandular manifestations. However, no significant differences were observed in terms of ANA positivity, ANA titers, or ENA positivity. Regression analysis indicated that age and FS were linked to systemic involvement. Conclusion: This study highlights the importance of FS as a predictive indicator for extraglandular manifestations in SS. Advanced age was found to be associated with an increased likelihood of extraglandular involvement. Assessing FS and age can aid in predicting extraglandular manifestations.