Specific Disease Groups Research Articles

Ethnobotanical knowledge of plant species of the North-East of Morocco, with three provinces as a case study: Al Hoceima, Nador, and Jerada.

This study focuses on taxa found in the Northeastern part of Morocco and cited in the book “Al Jam’ li-Mufradat al-Adwiya wa’l-Aghdiya (The Book of Simple Drugs) by Ibn Al Baytar. The main objective of this study is to determine whether the taxa on our list are recognized by the populations in the three provinces of Northeastern Morocco, as well as to collect information about their traditional uses (medicinal or non-medicinal), their modes of preparation and administration, the plant parts used. All the data have been collected through conducting an open-ended, semi-structured interviews with randomly selected individuals. The informant consensus factor (FIC) was calculated to identify the level of agreement among informants regarding the use of medicinal plants for specific disease groups. During these ethnobotanical surveys, 1,177 persons were interviewed. We were able to record a total of 241 taxa belonging to 66 families with 1,264 uses mentioned in the three provinces. The results obtained confront us with the idea that there is a decline of autochthonous knowledge. They reveal that 32.12% of the local population considers itself ignorant of the uses of plants to cure illness, and that 66.78% prefer modern medicine despite possessing some knowledge of traditional medicinal plants. However, 790 medicinal uses recorded were classified according to the WHO’s international Classification of diseases (ICPC-2, International Classification of Primary Care), and 474 other uses were recorded, along with the transcription of new vernacular names for 107 taxa. This confirms the importance of ethnobotanical studies as it plays an important role in preserving the reservoir of indigenous knowledge from being lost over time.

Quantitative proteomics of patient fibroblasts reveal biomarkers and diagnostic signatures of mitochondrial disease.

BACKGROUNDMitochondrial diseases belong to the group of inborn errors of metabolism (IEM), with a prevalence of 1 in 2,000-5,000 individuals. They are the most common form of IEM, but, despite advances in next-generation sequencing technologies, almost half of the patients are left genetically undiagnosed.METHODSWe investigated a cohort of 61 patients with defined mitochondrial disease to improve diagnostics, identify biomarkers, and correlate metabolic pathways to specific disease groups. Clinical presentations were structured using human phenotype ontology terms, and mass spectrometry-based proteomics was performed on primary fibroblasts. Additionally, we integrated 6 patients carrying variants of uncertain significance (VUS) to test proteomics as a diagnostic expansion.RESULTSProteomic profiles from patient samples could be classified according to their biochemical and genetic characteristics, with the expression of 5 proteins (GPX4, MORF4L1, MOXD1, MSRA, and TMED9) correlating with the disease cohort, thus acting as putative biomarkers. Pathway analysis showed a deregulation of inflammatory and mitochondrial stress responses. This included the upregulation of glycosphingolipid metabolism and mitochondrial protein import, as well as the downregulation of arachidonic acid metabolism. Furthermore, we could assign pathogenicity to a VUS in MRPS23 by demonstrating the loss of associated mitochondrial ribosome subunits.CONCLUSIONWe established mass spectrometry-based proteomics on patient fibroblasts as a viable and versatile tool for diagnosing patients with mitochondrial disease.FUNDINGThe NovoNordisk Foundation, Knut and Alice Wallenberg Foundation, Wellcome Centre for Mitochondrial Research, UK Medical Research Council, and the UK NHS Highly Specialised Service for Rare Mitochondrial Disorders of Adults and Children.

Unraveling the effects of DIP payment reform on inpatient healthcare: insights into impacts and challenges

BackgroundThe Diagnosis-Intervention Packet (DIP) payment system, initiated by China's National Healthcare Security Administration, is designed to enhance healthcare efficiency and manage rising healthcare costs. This study aims to evaluate the impact of the DIP payment reform on inpatient care in a specialized obstetrics and gynecology hospital, with a focus on its implications for various patient groups.MethodsTo assess the DIP policy's effects, we employed the Difference-in-Differences (DID) approach. This method was used to analyze changes in total hospital costs and Length of Stay (LOS) across different patient groups, particularly within select DIP categories. The study involved a comprehensive examination of the DIP policy's influence pre- and post-implementation.ResultsOur findings indicate that the implementation of the DIP policy led to a significant increase in both total costs and LOS for the insured group relative to the self-paying group. The study further identified variations within DIP groups both before and after the reform. In-depth analysis of specific disease groups revealed that the insured group experienced notably higher total costs and LOS compared to the self-paying group.ConclusionsThe DIP reform has led to several challenges, including upcoding and diagnostic ambiguity, because of the pursuit of higher reimbursements. These findings underscore the necessity for continuous improvement of the DIP payment system to effectively tackle these challenges and optimize healthcare delivery and cost management.

Selenium as a Modulator of Redox Reactions in the Prevention and Treatment of Cardiovascular Diseases.

Cardiovascular diseases stand as the predominant global cause of mortality, exerting a profound impact on both life expectancy and its quality. Given their immense public health burden, extensive efforts have been dedicated to comprehending the underlying mechanisms and developing strategies for prevention and treatment. Selenium, a crucial participant in redox reactions, emerges as a notable factor in maintaining myocardial cell homeostasis and influencing the progression of cardiovascular disorders. Some disorders, such as Keshan disease, are directly linked with its environmental deficiency. Nevertheless, the precise extent of its impact on the cardiovascular system remains unclear, marked by contradictory findings in the existing literature. High selenium levels have been associated with an increased risk of developing hypertension, while lower concentrations have been linked to heart failure and atrial fibrillation. Although some trials have shown its potential effectiveness in specific groups of patients, large cohort supplementation attempts have generally yielded unsatisfactory outcomes. Consequently, there persists a significant need for further research aimed at delineating specific patient cohorts and groups of diseases that would benefit from selenium supplementation.

How to determine the focus of emergent medical care in healthcare policy: Proposal of treatable death

IntroductionThe global provision of essential healthcare stands as a critical concern. Consequently, healthcare policies play a pivotal role in determining the allocation of resources. However, the optimal indicators for prioritizing such policies remain uncertain. This study proposes that employing the concept of treatable mortality in a stepwise manner could serve as a viable approach to setting healthcare policy priorities. Furthermore, it aims to demonstrate this concept through the application of real-world data. MethodsA model was developed to assess treatable mortality at a national level focusing on severe emergency conditions. We established stepwise targets, encompassing short-term, mid-term, and long-term goals to reduce mortality rates and enhance healthcare efficiency. The short-term target consists of directing attention to regions exhibiting in-hospital mortality rates surpassing the national average within a specific disease category and reducing them to the national average. The mid-term objective entails decreasing the in-hospital mortality rate of the specific disease group to match that of the region with the lowest rate nationwide. As for long-term target, it aligns the in-hospital mortality rate with that of OECD countries possessing average or lowest rates. The model was applied using data from South Korea's National Emergency Department Information System, specifically analyzing acute myocardial infarction (AMI), stroke, and sepsis. ResultsReaching the short-term target resulted in the treatable deaths for AMI numbered 191, for stroke 249, and for sepsis 546. Meeting the mid-term target led to treatable deaths for AMI at 749, for stroke at 958, and for sepsis at 1552. Finally, achieving the long-term target yielded the treatable deaths for AMI at 2606, for stroke at 1642, and for sepsis at 2619. Consequently, a reallocation of more healthcare resources to sepsis over AMI or stroke is recommended. ConclusionsThis study proposes the utilization of treatable mortality as a metric for establishing healthcare policies. The stepwise approach provides valuable insights for policymaking at various levels. Despite limitations, the model offers a foundation for resource allocation and international mortality rate comparisons, aiming for achievable rates worldwide.

Comparative analysis of symptom burdens and influential factors among diverse terminally-ill patients.

The suffering experienced by terminally-ill patients encompasses physiological, psychosocial and spiritual dimensions. While previous studies have investigated symptom burden intensity for specific disease groups, such as cancer or heart failure patients, a research gap exists in understanding major distressing symptoms among diverse terminally-ill patients. This study assessed symptom burden intensity and explored its influential factors among diverse patient disease groups. This cross-sectional study utilized the baseline Integrated Palliative care Outcome Scale (IPOS) assessment data. The study participants were terminally-ill patients enrolled in an end-of-life care (EoLC) intervention in Hong Kong. Statistical methods including relative importance index (RII), one-way analysis of variance (ANOVA), and generalized linear regression (GLR) were employed. Final sample consisted of 1,549 terminally-ill patients (mean age =77.4 years, SD =11.6). The five top-rated distressing symptoms among these patients, revealed by the RII analysis, were poor mobility (RII =64.4%), family anxiety (RII =63.5%), sharing feelings with family/friends (RII =61.4%), weakness/lack of energy (RII =58.1%), and hardly feeling at peace (RII =50.7%). One-way ANOVA showed significant differences among the eight disease groups in perceived physical and emotional symptom burden intensity (P<0.05). Analysis of RII symptom scores for each disease group revealed that poor mobility was rated as the most distressing symptom (RII =85.1-62.9%) by patients with motor neurone disease, Parkinson's disease, heart failure, dementia, end-stage renal disease and other serious diseases (including stroke, hematological disease, multiple sclerosis and liver diseases). Perceived family anxiety (RII =66.1%) and shortness of breath (RII =63.8%) were the most distressing symptoms for cancer patients and those with chronic obstructive pulmonary disease, respectively. GLR analysis showed that illness type is the most significant factor influencing the perceived burden intensity in terms of the IPOS total and subscale scores of physical symptoms, emotional symptoms and communication/practical issues. Demographic characteristics such as age, gender, marital status and co-residing status were also identified as influential factors of various symptom categories. However, patients' educational level and relationship with primary caregiver did not significantly influence any perceived symptom burden. This study provides valuable insights into the symptom burdens experienced by diverse patient disease groups at end-stage of life. The findings highlight the major distressing symptoms of poor mobility, family anxiety, and shortness of breath. Addressing these symptoms is crucial in improving the quality of care for terminally-ill patients. Furthermore, the study identifies influential factors that can affect the perceived intensity of symptom burden, primarily the main type of terminal illness and patient's age. Tailored care support and improved clinical care should be implemented, particularly for high-risk groups such as patients with non-cancer terminal illnesses and older aged patients. These findings contribute to existing literature and emphasize the need for comprehensive and individualized care in EoLC.

Influence of chronic medical conditions on older patients’ willingness to deprescribe medications: a cross-sectional study

BackgroundAging correlates with a heightened prevalence of chronic diseases, resulting in multimorbidity affecting 60% of those aged 65 or older. Multimorbidity often leads to polypharmacy, elevating the risk of potentially inappropriate medication (PIM) use and adverse health outcomes. To address these issues, deprescribing has emerged as a patient-centered approach that considers patients’ beliefs and attitudes toward medication and reduces inappropriate polypharmacy in older adults. Our study aims to investigate whether certain chronic medical conditions are associated with older patients’ willingness to deprescribe medications.MethodsA cross-sectional study enrolled 192 community-dwelling individuals aged 65 or older taking at least one regular medication. Data included demographics, clinical characteristics, and responses to the Portuguese revised Patients’ Attitudes Towards Deprescribing (rPATD) questionnaire. Descriptive statistics characterized participants, while multiple binary logistic regression identified associations between chronic medical conditions and willingness to deprescribe.ResultsAmong the participants (median age: 72 years, 65.6% female), 91.6% had multimorbidity. The analysis revealed that willingness to deprescribe significantly increased with the presence of gastric disease (adjusted odds ratio [aOR] = 4.123; 95% CI 1.221, 13.915) and age (aOR = 1.121; 95% CI 1.009, 1.246). Conversely, prostatic pathology (aOR = 0.266; 95% CI 0.077, 0.916), higher scores in the rPATD appropriateness factor (aOR = 0.384; 95% CI 0.190, 0.773), and rPATD concerns about stopping factor (aOR = 0.450; 95% CI 0.229, 0.883) diminished patients’ willingness to deprescribe.ConclusionsThis study highlights the intricate relationship between older patients’ attitudes toward deprescribing and chronic medical conditions. We found that gastric disease was associated with an increased willingness to deprescribe medications, while prostate disease was associated with the opposite effect. Future research should explore how patients with specific diseases or groups of diseases perceive deprescribing of medications general and for specific medications, aiding in the development of targeted interventions.

Primary immunodeficiency disorders imitating inflammatory bowel diseases: clinical aspects and problems of the differential diagnosis

From the beginning of 2000s, there has been a significant increase in the incidence of inflammatory bowel diseases (IBD) and primary immunodeficiency disorders (PIDs) in adults and children in many countries around the world. The aim of the review is to summarize the state-of-the-art on diverse clinical types of PIDs with gastrointestinal manifestations and their differential diagnostic algorithms.&#x0D; Atypical PIDs with “blunted” clinical manifestations are challenging for the timely diagnosis. Some types of PIDs with gastrointestinal involvement are also difficult to differentiate with classical IBDs. Molecular genetic studies have allowed for selection of a specific group of monogenic IBD-like diseases, represented mainly by PIDs. The authors discuss current classification of PIDs and their main clinical types imitating IBD, with important clinical and laboratory aspects. High level of information and awareness of practicing specialists working with IBD patients would be helpful in the selection of a patient cohort with possible PIDs and in the performance of extended laboratory assessment or referring for genetic tests. Timely diagnosis of PIDs would ensure quick administration of target therapy or hematopoietic stem cell transplantation, which in most cases would allow for the achievement of the disease remission, improvement of quality and duration of life.

Photodynamic Therapy and Immunological View in Gastrointestinal Tumors.

Gastrointestinal cancers are a specific group of oncological diseases in which the location and nature of growth are of key importance for clinical symptoms and prognosis. At the same time, as research shows, they pose a serious threat to a patient's life, especially at an advanced stage of development. The type of therapy used depends on the anatomical location of the cancer, its type, and the degree of progression. One of the modern forms of therapy used to treat gastrointestinal cancers is PDT, which has been approved for the treatment of esophageal cancer in the United States. Despite the increasingly rapid clinical use of this treatment method, the exact immunological mechanisms it induces in cancer cells has not yet been fully elucidated. This article presents a review of the current understanding of the mode of action of photodynamic therapy on cells of various gastrointestinal cancers with an emphasis on colorectal cancer. The types of cell death induced by PDT include apoptosis, necrosis, and pyroptosis. Anticancer effects are also a result of the destruction of tumor vasculature and activation of the immune system. Many reports exist that concern the mechanism of apoptosis induction, of which the mitochondrial pathway is most often emphasized. Photodynamic therapy may also have a beneficial effect on such aspects of cancer as the ability to develop metastases or contribute to reducing resistance to known pharmacological agents.

Muscle strength in ostensibly healthy non-diabetic subjects

Background/purposeSarcopenia and decreased muscle strength (dynapenia) are emerging health issues. However, the study exploring muscle strength changes of both upper and lower limbs at the same time among all age groups is rare. This study aims to investigate the muscle strength and to establish a muscle strength norm of an ostensibly healthy non-diabetic Asian population. MethodsFrom 2018 June to 2020 March, subjects (aged from 20 to <80 years old) undergoing health checkup in Good Liver Medical Examination Center and National Taiwan University Hospital Geriatrics and Gerontology Department were enrolled. A battery of muscle power examinations including handgrip strength (HGS), five times sit-to-stand test (5TSTS), and one-leg standing test (OLST) were performed. ResultsA total of 183 participants was enrolled, consisting of 92 females and 91 males. The finding shows the strongest HGS, best 5TSTS, and the longest OLST of both genders appeared in the 20-29-year-old group. Age, gender, and palm length are significantly related to HGS, whereas age is the only factor affecting 5TSTS and OLST. It revealed a progressive decline during ageing process, especially after age 60. Finally, Z-score and T-score norms of these were established. ConclusionThese data will be useful as normal controls for muscle strength of specific disease groups. The application of the cutoffs from these data and their comparisons with the recommended cutoffs from various guidelines worth further exploration.

Linc2function: A Comprehensive Pipeline and Webserver for Long Non-Coding RNA (lncRNA) Identification and Functional Predictions Using Deep Learning Approaches.

Long non-coding RNAs (lncRNAs), comprising a significant portion of the human transcriptome, serve as vital regulators of cellular processes and potential disease biomarkers. However, the function of most lncRNAs remains unknown, and furthermore, existing approaches have focused on gene-level investigation. Our work emphasizes the importance of transcript-level annotation to uncover the roles of specific transcript isoforms. We propose that understanding the mechanisms of lncRNA in pathological processes requires solving their structural motifs and interactomes. A complete lncRNA annotation first involves discriminating them from their coding counterparts and then predicting their functional motifs and target bio-molecules. Current in silico methods mainly perform primary-sequence-based discrimination using a reference model, limiting their comprehensiveness and generalizability. We demonstrate that integrating secondary structure and interactome information, in addition to using transcript sequence, enables a comprehensive functional annotation. Annotating lncRNA for newly sequenced species is challenging due to inconsistencies in functional annotations, specialized computational techniques, limited accessibility to source code, and the shortcomings of reference-based methods for cross-species predictions. To address these challenges, we developed a pipeline for identifying and annotating transcript sequences at the isoform level. We demonstrate the effectiveness of the pipeline by comprehensively annotating the lncRNA associated with two specific disease groups. The source code of our pipeline is available under the MIT licensefor local use by researchers to make new predictions using the pre-trained models or to re-train models on new sequence datasets. Non-technical users can access the pipeline through a web server setup.

Leucocytal indexes in apparently healthy cats

Leukocyte indices are ratios that are used to assess the state of the patient's blood and immune system. The use of leukocyte indices in the diagnosis of feline diseases is currently limited, which is mainly due to the lack of norms in wide publication, as well as studies of patterns characteristic of specific groups of diseases, as well as the nature of the course of pathological processes. The purpose of the presented study was to assess the indicators of leukocyte indices in clinically healthy cats. The analysis of morphological parameters of the blood of 11 mongrel clinically healthy cats with the obligatory absence of a stress leukogram was carried out. The number of leukocytes and leukogram in the blood were determined according to generally accepted methods, followed by the calculation of leukocyte indices: Krebs index (KI), leukocyte intoxication index (LII), G.D. Dashtayants nuclear index (NI), leukocyte shift index (LSI), leukocyte index (LI), neutrophilmonocyte ratio index (NMRI), the index of the ratio of lymphocytes to monocytes (IRLM). The obtained data are expected to further expand the diagnostic and prognostic capabilities of cat diseases. In the future, the study is planned to be expanded with the capture and analysis of individual nosological units and breed characteristics, as well as the features of the diet, the ratio to the severity of the condition, the analysis of life expectancy and survival. It should be noted that in order to more accurately determine the diagnostic significance and the possibility of determining forecasts, it is necessary to increase the number of animal samples with an assessment of indicators in dynamics.

Association of Coffee and Tea Intake with Bone Mineral Density and Hip Fracture: A Meta-Analysis.

Background and Objectives: Osteoporosis is characterized by low bone mass and high bone fragility. Findings regarding the association of coffee and tea intake with osteoporosis have been inconsistent. We conducted this meta-analysis to investigate whether coffee and tea intake is associated with low bone mineral density (BMD) and high hip fracture risk. Materials and Methods: PubMed, MEDLINE, and Embase were searched for relevant studies published before 2022. Studies on the effects of coffee/tea intake on hip fracture/BMD were included in our meta-analysis, whereas those focusing on specific disease groups and those with no relevant coffee/tea intake data were excluded. We assessed mean difference (MD; for BMD) and pooled hazard ratio (HR; for hip fracture) values with 95% confidence interval (CI) values. The cohort was divided into high- and low-intake groups considering the thresholds of 1 and 2 cups/day for tea and coffee, respectively. Results: Our meta-analysis included 20 studies comprising 508,312 individuals. The pooled MD was 0.020 for coffee (95% CI, -0.003 to 0.044) and 0.039 for tea (95% CI, -0.012 to 0.09), whereas the pooled HR was 1.008 for coffee (95% CI, 0.760 to 1.337) and 0.93 for tea (95% CI, 0.84 to 1.03). Conclusions: Our meta-analysis results suggest that daily coffee or tea consumption is not associated with BMD or hip fracture risk.

A scoping review of methods to measure and evaluate citizen engagement in health research.

Citizen engagement, or partnering with interested members of the public in health research, is becoming more common. While ongoing assessment of citizen engagement practices is considered important to its success, there is little clarity around aspects of citizen engagement that are important to assess (i.e., what to look for) and methods to assess (i.e., how to measure and/ or evaluate) citizen engagement in health research. In this scoping review, we included peer-reviewed literature that focused primarily on method(s) to measure and/or evaluate citizen engagement in health research. Independently and in duplicate, we completed title and abstract screening and full-text screening and extracted data including document characteristics, citizen engagement definitions and goals, and methods to measure or evaluate citizen engagement (including characteristics of these methods). Our search yielded 16,762 records of which 33 records (31 peer-reviewed articles, one government report, one conference proceeding) met our inclusion criteria. Studies discussed engaging citizens (i.e., patients [n = 16], members of the public [n = 7], service users/consumers [n = 4], individuals from specific disease groups [n = 3]) in research processes. Reported methods of citizen engagement measurement and evaluation included frameworks, discussion-based methods (i.e., focus groups, interviews), survey-based methods (e.g., audits, questionnaires), and other methods (e.g., observation, prioritization tasks). Methods to measure and evaluate citizen engagement commonly focused on collecting perceptions of citizens and researchers on aspects of citizen engagement including empowerment, impact, respect, support, and value. We found that methods to measure and/or evaluate citizen engagement in health research vary widely but share some similarities in aspect of citizen engagement considered important to measure or evaluate. These aspects could be used to devise a more standardized, modifiable, and widely applicable framework for measuring and evaluating citizen engagement in research. Two citizen team members were involved as equal partners in study design and interpretation of its findings. Open Science Framework (10.17605/OSF.IO/HZCBR).

Neuropathology I: muscular diseases

Muscle diseases include hereditary and acquired diseases with clinical manifestation in both childhood and adulthood. The different muscle diseases may have ultrastructural alterations that help us further understand the pathology of the disease. Specific changes in sarcomere structure help to classify acongenital myopathy. The detection of cellular aggregates supports the classification of myositis. Pathologically altered mitochondria, on the other hand, can occur both in genetic mitochondriopathies but also secondarily in acquired muscle diseases like myositis. Ultrastructural analysis of the myocardium is also helpful in the diagnosis of hereditary cardiomyopathies in childhood. This review article highlights the ultrastructural features of different muscle diseases and pathognomonic findings in specific disease groups.

Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy.

BackgroundLittle is known on how frailty influences clinical outcomes in persons with specific multimorbidity patterns.AimsTo investigate the interplay between multimorbidity and frailty in the association with mortality in older individuals living in nursing homes (NH).MethodsWe considered 4,131 NH residents aged 60 years and over, assessed through the interRAI LTCF instrument between 2014 and 2018. Follow-up was until 2019. Considering four multimorbidity patterns identified via principal component analysis, subjects were stratified in tertiles (T) with respect to their loading values. Frailty Index (FI) considered 23 variables and a cut-off of 0.24 distinguished between high and low frailty levels. For each pattern, all possible combinations of tertiles and FI were evaluated. Their association (Hazard Ratio [HR] and 95% confidence interval) with mortality was tested in Cox regression models.ResultsIn the heart diseases and dementia and sensory impairments patterns, the hazard of death increases progressively with patterns expression and frailty severity (being HR T3 vs. T1 = 2.36 [2.01–2.78]; HR T3 vs. T1 = 2.12 [1.83–2.47], respectively). In heart, respiratory and psychiatric diseases and diabetes, musculoskeletal and vascular diseases patterns, frailty seems to have a stronger impact on mortality than patterns’ expression.DiscussionFrailty increases mortality risk in all the patterns and provides additional prognostic information in NH residents with different multimorbidity patterns.ConclusionsThese findings support the need to routinely assess frailty. Older people affected by specific groups of chronic diseases need a specific care approach and have high risk of negative health outcomes.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40520-022-02269-8.

An approach for collaboration between different stakeholders to strengthen the public health system

Nowadays, the healthcare problem is one of the major crises in many parts of the world, especially the COVID-19 pandemic has exacerbated this to a greater extent. Many developing countries with inadequate healthcare systems are suffering greatly from this crisis to provide proper medical services. The reasons are the insufficient number of healthcare providers, costs of medical tests and equipment, lack of accessible points of care and data analysis, and lack of sufficient online healthcare facilities. However, research on the benefits of establishing e-health platforms to strengthen the conventional public-health system is limited—most of the research targets patients in specific disease groups. This paper focuses on an approach for designing a healthcare social media platform for services provisioning, consuming, enabling patients to find an alternate source of healthcare advice, and then building a collaborative health community for all kinds of people. Its usability and applicability have been experimented with as a prototype on Android-based smartphone devices. The results show six features and benefits that are distinct from existing approaches in the literature. In addition, the approach will be considered an affordable alternative to conventional healthcare in case of emergency treatment.

Willingness of Older Adults with Chronic Diseases to Receive a Booster Dose of Inactivated Coronavirus Disease 2019 Vaccine: A Cross-Sectional Study in Taizhou, China.

Vaccination is an important measure to control the spread of COVID-19 among elderly high-risk groups; however, the propensity to receive COVID-19 vaccine boosters has not been evaluated in these populations. Here, we aimed to investigate the willingness to receive a COVID-19 vaccine booster among the elderly chronic disease population in Taizhou, China. A cross-sectional, hospital-based survey was conducted in the outpatient department of a tertiary care hospital between 6 July and 11 August 2021 in Taizhou, China, and the data were uploaded to Wen-Juan-Xing, one of the largest online platforms used to collect survey data in China. The targeted population was non-oncology chronic disease patients aged 60 years and above. The minimum sample size was 229, determined by the G*Power software (v3.1.9.2, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany). A total of 254 patients with valid data were enrolled in this study, with a response rate of 82.5% (254/308). Chi-square tests and one-way binary regression were used to compare the proportions and the degree of influence of categorical factors. The magnitude of the effect for the comparisons was measured by Gramer’s V. A multivariate binary logistic regression model was used to correct for confounders and to identify factors. All data were analyzed using SPSS v24.0 (IBM Corporation, Armonk, NY, USA). A total of 198 respondents (77.9%) were willing to receive a COVID-19 vaccine booster dose, and 77.6% of respondents were willing to receive the primary dose. Age < 70 years (OR 2.82), stable disease control (OR 2.79), confidence in the effectiveness of the COVID-19 vaccine (OR 3.11), and vaccine recipient (OR 5.02) were significantly associated with the willingness to receive a COVID-19 vaccine booster dose. Promoting primary dose vaccination is essential for advancing booster vaccination, and it is important to focus on elderly patients’ confidence in the vaccine, in addition to strengthening health management and promoting disease stability. Follow-up studies should focus on elderly patients who belong to specific disease groups.

The risk of osteopenia/osteoporosis and psoriatic disease: A systematic review.

Psoriasis (Ps) is a multisystem inflammatory disease associated with several comorbidities; however, its effect on bone health remains uncertain. This systematic review aimed to evaluate the risks of osteopenia (OPe) and osteoporosis (OP) in psoriasis. A systematic search was performed for published studies evaluating cutaneous Ps and psoriatic arthritis (PsA) compared with healthy control groups utilizing a validated bone mineral density (BMD) assessment score. Meta-analysis was performed using a random-effects model; pooled estimates and their confidence intervals (CIs) were calculated. For analysis, Ps and PsA groups were combined due to the small number of studies. Twenty-one studies were included for final analysis; three Ps only, 15 PsA and three both. There was a significant difference between psoriatic disease (combination Ps and PsA group) compared with controls relating to an association with OP/OPe, with an overall odds ratio (OR) of 1.71 (95% CI 1.07-2.74: p-value=0.026). The Ps group had significantly lower BMD than the control group at both the lumbar spine and femoral neck (mean difference -0.04; 95% CI -0.090 to 0.002 and -0.03; 95% CI -0.059 to 0.003 respectively). Putative risks of OPe and OP in both Ps and PsA are supported but not confirmed. Significant heterogeneity of reported data limits definitive conclusions in this meta-analysis. This review contributes to the further understanding of Ps as a multisystem disease and future management of potential comorbidities, but highlights key gaps in the literature. Further studies addressing standardised OP reporting, specific disease group characteristics comparing Ps with PsA, patient characteristics and medication use, are required in order to make more certain conclusions with greater clinical impact.

Pathogenic variation types in human genes relate to diseases through Pfam and InterPro mapping.

Grouping residue variations in a protein according to their physicochemical properties allows a dimensionality reduction of all the possible substitutions in a variant with respect to the wild type. Here, by using a large dataset of proteins with disease-related and benign variations, as derived by merging Humsavar and ClinVar data, we investigate to which extent our physicochemical grouping procedure can help in determining whether patterns of variation types are related to specific groups of diseases and whether they occur in Pfam and/or InterPro gene domains. Here, we download 75,145 germline disease-related and benign variations of 3,605 genes, group them according to physicochemical categories and map them into Pfam and InterPro gene domains. Statistically validated analysis indicates that each cluster of genes associated to Mondo anatomical system categorizations is characterized by a specific variation pattern. Patterns identify specific Pfam and InterPro domain–Mondo category associations. Our data suggest that the association of variation patterns to Mondo categories is unique and may help in associating gene variants to genetic diseases. This work corroborates in a much larger data set previous observations from our group.