Background: Dysphagia is a common functional impairment in elderly populations, often leading to severe complications such as malnutrition and aspiration pneumonia, significantly increasing healthcare burdens. Currently, effective prognostic assessment tools are lacking. The absolute lymphocyte count (ALC), a biomarker reflecting immune-nutritional status, has potential predictive value in this context, though its role in dysphagia prognosis remains unclear. Methods: This retrospective cohort study included 253 dysphagic patients who received percutaneous endoscopic gastrostomy (PEG) or total parenteral nutrition (TPN) between 2014 and 2017. Five patients with missing ALC were excluded. Cox regression models assessed the association between ALC and mortality. ALC was analyzed as both continuous variable (using restriocted cubic splines) and categorical tertiles, with additional threshold analyses to assess non-linearity. Kaplan–Meier survival curves and subgroup analyses were also performed. Results: Lower ALC was associated with poorer nutritional status, higher inflammatory markers, and greater comorbidity burden. Higher ALC was independently associated with reduced mortality (adjusted HR: 0.60; 95% CI: 0.44–0.83; p = 0.002). Patients in the highest tertile had significantly better survival than those in the lowest (HR: 0.37; 95% CI: 0.23–0.59; P < 0.001). A non-linear threshold effect was identified at ALC = 1.899×10⁹/L (p for non-linearity = 0.009). Kaplan–Meier analysis confirmed improved survival with higher ALC (p < 0.0001). Subgroup analyses showed the protective effect of higher ALC was consistent across age, sex, BMI, PEG use, and comorbidity strata, with no significant interactions. Conclusions: ALC is an independent, non-linear predictor of mortality in older dysphagic patients and may aid clinical risk stratification across diverse patient subgroups.

Respiratory syncytial virus (RSV) is commonly known as a pathogen of the bronchiolitis in children, however, recently also as a pathogen of the severe virus pneumonia in adults, especially elderly persons, and vaccines for elderly persons have been developed. There are two vaccines, such as the vaccines targeted for subgroup A with the adjuvant, and that targeted for both subgroup A and B but not included the adjuvant in Japan. Both vaccines are considered effective to prevent not only the incident of RSV infection/pneumonia, but also the exacerbations of the elderly persons with underlying diseases including chronic cardiopulmonary diseases.

Background: Severe COVID-19 patients who received ventilator management were not very rare even when the omicron variant became dominant, but the clinical characteristics of these patients are still unclear. Methods: The clinical characteristics of severe COVID-19 patients requiring ventilator management were retrospectively investigated from January 2023 to December 2023. Results: Severe COVID-19 patients who received ventilator management accounted for 11 of 275 (4.2%) patients during the omicron variant period. Their mean age was 70.7 (51-85) years, and males were predominant. Ten of eleven (91.7%) patients were managed in the emergency department and had underlying diseases, including chronic lung/heart/kidney diseases and neurological diseases. However, only 4 of 11 (36.4%) had a clear history of vaccination. The patients showed a positive SARS-CoV-2 antigen titer of 3305.7 (12.9-20912). All 11 patients were treated with remdesivir and dexamethasone, and 5 (45.5%) also received sotrovimab. Pathogenic bacteria were isolated from 7 of 11 (63.6%) patients, and all 11 patients were treated with antibiotics. Only 3 of 11 (27.3%) patients were managed using extracorporeal membrane oxygenation (ECMO), but 9 of 11(81.8%) patients survived. Conclusions: These data suggest that severe COVID-19 patients who required ventilator management were less-vaccinated, elderly patients with underlying disease. These patients were treated successfully using antiviral agents, steroids, neutralizing antibodies, and antibiotics, with a few also treated using ECMO in the omicron era.

This work presents the results of an ethnobotanical research carried out in the territory of Serre Calabre, province of Vibo Valentia (Calabria, southern Italy). In this territory, the bond between the residents and the rural environment is still strong, because the small urban centers are placed in a predominantly agricultural and forestry environment still managed in a traditional way. The survey took place between January 2019 and July 2021. Data were collected through semi-structured interviews with locals. As many as 17 informants were interviewed and a total of 185 interviews were recorded. Plant specimens were collected under the indication of the informants and then deposited at the herbarium of the Mediterranean University of Reggio Calabria (REGGIO). The data were stored on a digital database and then statistically analyzed some synthetic indexes have also been calculated, such as Relative Frequency of Citation (RFC) and the Cultural Importance Index (CI). The investigation allowed to identify 84 taxa belonging to 39 different families, among which the most represented are Lamiaceae (23 interviews, 9 taxa), Asteraceae (22 interviews, 12 taxa). The identified taxa were prevalently cited for alimentary (46 interviews, 32 taxa) and healing (55, 27) uses. The results obtained show how the traditional knowledge about plants in the Serre Calabre area is still alive, however it is exclusive heritage of elderly people and often only in one or just a few informants. In fact, many practices are no longer in use and will not be transferred to the new generations.

This paper presents the results of an ethnobotanical survey carried out in the Peloritani Mounts (NE Sicily). This investigation aims to illustrate the first record known of the traditional uses of plants in this territory through the case study of a small rural suburb named Tipoldo (Messina). The data were collected from 20 informants over the age of 66, who were mainly farmers and shepherds, and were analyzed using two quantitative ethnobotanical indicators. For each plant was reported the Latin name, life form, vernacular name, parts used, ethnobotany category, claimed uses, status, and their relative indexes. Based on semi-structured interviews carried out between February 2017 and May 2018, a listing was compiled of 126 wild plants belonging to 51 families, the most predominant being Asteraceae (19 species) and Fabaceae (15 species). The most common ethnobotanical uses reported are medicinal (30%) and agropastoral use (19%). Among the preparation methods indicated, leaves (39%) were the most commonly used parts of the plants, while the species most mentioned in connection with ethnobotanical applied indexes were: Crepis vesicaria, Dittrichia graveolens, Hypochaeris radicata, Salvia Rosmarinus and Clinopodium nepeta. These practices are presently performed only by a few elderly people, who rely on plants solely for a few activities. Furthermore, ethnobotanical studies are fundamental to clear up the knowledge on the traditional plant uses that are still current in this part of Sicily, to preserve this cultural heritage for future generations.

Proper and effective management of obstructive sleep apnea (OSA) in elderly patients represents an important yet under-researched therapeutic target. Therefore, the main purpose of our research was to employ age stratification to analyse sleep quality and sleep fragmentation, the daily sleepiness, OSA severity and CPAP compliance in elderly. Conforming to the inclusion criteria of minimum 70 years of age at the time of polysomnography and CPAP titration night a total number of 162 elderly patients was included, median age 73,00±4 (MED±IQR). The comparison group consisted of 448 adult subjects under the age of 70 years old, median age 54,00±14,00 (MED±IQR). Sleep fragmentation in elderly was promoted to suboptimal CPAP adherence, as the probability of CPAP use ≥ 4 hours per day was less than 20%. Overall CPAP compliance hours in the elderly group achieved 3,991±3,804 hours/day with bigger variation in between the subjects versus 5,547±3,465 hours/day for the controls, (MED±IQR, p<0,001). Despite naturally occurring sleep fragmentation worsened by OSA, less than 30% of elderly patients would score ≥ 10 points on Epworth sleepiness scale. The study emphasizes acute need for standardized age-specific diagnostic tools to address different perception of daily drowsiness and sleepiness by older people. Further, it underlines the importance of early recognition of possible comorbid OSA and insomnia and suggest paying more attention to “non-obese phenotype” in the subgroup of elderly patients with suspected OSA. Elderly patients might also need development of more flexible CPAP compliance criteria; however, those must be standardized and objective.

Background: Tuberculosis (TB) in the elderly poses significant diagnostic and therapeutic challenges due to immunosenescence, comorbidities, and atypical clinical presentation. This study evaluates the epidemiological and clinical characteristics of TB in patients aged ≥65 years. Methods: A retrospective descriptive study was conducted including all TB cases reported between 2020 and 2024. Data from the National Tuberculosis Program were analyzed for demographic characteristics, clinical form, bacteriological confirmation, comorbidities, and treatment outcomes. Results: Of 1,335 TB cases, 352 (26.4%) occurred in individuals aged ≥65 years. Pulmonary TB accounted for 80.7% of cases. Men represented 63.4% of patients, and 56.8% lived in urban areas. Bacteriological confirmation was achieved in 82% of pulmonary cases, and treatment success exceeded 85%. Diabetes mellitus (26.5%) and arterial hypertension (31%) were the most common comorbidities. An increase in TB cases was observed in the post-COVID-19 period. A significant association was found between age and clinical form of TB (p < 0.001). Conclusions: Elderly individuals constitute a substantial proportion of TB cases and frequently present with chronic comorbidities. Despite diagnostic challenges, favorable treatment outcomes were achieved, highlighting the need for integrated and early management strategies in this population.

Introduction: Stroke remains one of the leading causes of death and disability worldwide, with ischemic stroke accounting for most cases. Structural vascular factors such as carotid artery tortuosity have gained attention as potential markers of vascular aging and cerebrovascular risk. The carotid tortuosity index (CTI), defined as the ratio of actual vessel length to the straight-line distance between two fixed points, provides a quantitative measure of arterial curvature. A CTI value of ≥1.2 indicates pathological tortuosity. Although noninvasive modalities such as CTA and MRA are frequently used, digital subtraction angiography (DSA) remains the gold standard for evaluating vessel geometry due to its higher spatial precision. This study aimed to determine the association of age, sex, and hypertension with CTI measured by DSA. Methods: A cross-sectional study was conducted from November to December 2025 at the Neurointervention Clinic, RS Pelni Jakarta, Indonesia, involving 61 adult patients who underwent carotid DSA. CTI was measured bilaterally using digital imaging software and classified as <1.2 (non-tortuous) or ≥1.2 (tortuous). Clinical data, including age, sex, and hypertension status, were collected from medical records and analyzed using bivariate tests. Results: Older age (≥65 years), female sex, and hypertension were significantly associated with higher CTI values on both carotid sides. Tortuosity was more common among hypertensive patients and elderly females, indicating the influence of vascular remodeling and chronic hemodynamic stress. Conclusion: Carotid tortuosity increases with age, hypertension, and female sex. DSA-based CTI measurement provides a reliable and precise approach for evaluating vascular changes associated with cerebrovascular risk.

This paper describes the current status of research on disease distress in elderly type 2 diabetic patients at home and abroad, with a view to developing targeted interventions for diabetic patients, improving self-management behavioral ability and quality of life in elderly type 2 diabetic patients, and improving patients' glycemic control.

The initial omicron (B.1.1.529) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) subvariants, BA.1 and BA.2 (BA.1/2), were progressively displaced by BA.5 in Japan, which showed not only higher transmittivity and less pathogenicity, but also differences in antibiotic use according to the difference in the clinical course of BA.5 compared with BA.1/2 infections. BA.5 patients received more antibiotics, especially ampicillin/sulbactam, although ceftriaxone and meropenem were used significantly in the BA.1/2 period. These data suggest an increased incidence of aspiration pneumonia in elderly patients in the BA.5 period, and we should consider changing the management tactics for COVID-19.

Coronaviruses (CoVs) are a broad family of potentially serious RNA viruses that are now causing an outbreak of respiratory disease known as CoV disease 2019 (COVID-19). Melatonin is a pineal hormone that is predominantly produced and released at night from the amino acid tryptophan. Melatonin and its metabolites are also important in immunomodulation, and they have antioxidative properties due to their capacity to scavenge reactive oxygen species both directly and indirectly. COVID-19 leads to changes of altered consciousness levels in about 15% of hospitalized patients, starting from somnolence to disorientation, delirium, stupor, and coma. Melatonin can decrease the molecules that cause delirium in the elderly and central respiratory depression, such as benzodiazepines and antipsychotics. Melatonin may help alleviate infection-induced acute respiratory distress as well as its diverse effects, which include anti-inflammatory, antioxidative, and immune-enhancing properties. Its supplemental dose may be able to prevent SARS-COV-2 infections by reversing aerobic glycolysis via suppression of both HIF-1 and mTOR, allowing pyruvate dehydrogenase complex activity to be suppressed and acetyl-coenzyme A to be produced. When mitochondrion-produced and parenteral melatonin are combined, the cytokine storm is reduced, and COVID-19 infection-induced damage is alleviated. In conclusion, melatonin could have an important role in the management of COVID-19.

Background: Psoriasis is extensively studied among middle-aged adults, but not many have studied psoriasis in older adults(geriatrics). OBJECTIVES: To analyze epidemiological, clinical, comorbidities and therapeutic profile of geriatric psoriasis(GP). METHODS: All consenting clinically diagnosed psoriatic patients ≥60 years were divided into two groups: Elderly psoriatic(EP)(60-75 years) and Ultra elderly psoriatic(UP)(>75 years). The dermatologist filled their clinical characteristics’ standardised questionnaire to determine comorbidities, drug interactions profile and compared with age-matched controls using Chi square test. RESULTS: Prevalence of GP is 14.5%(Average age:68 years; Sex ratio=2.5:1)among geriatrics attending dermatology OPD. Most common(49.9%) as well as initial site affected(39.3%) were Palms±Soles. Nummular plaque (90.2%) was most common type. Superficial fungal infection(26.9%) and pruritus(90.8%) were commonly associated cutaneous disease and symptom(p<0.05) respectively. Hypertension(49.7%),Diabetes Mellitus(22.8%), dyslipidemia(25.8%) and Metabolic syndrome(MS)(17.8%) were associated systemic comorbidities. Dyslipidemia and MS(p<0.0001) were more common among GP(163) than controls(963). Drug aggravated psoriasis could not be linked to polypharmacy. Although, topicals were mainstay, oral Methotrexate was most efficacious systemically. CONCLUSION: Our findings suggest a trimodal age of psoriasis onset at 68 years. As age advances, psoriasis severity decreases, unstable guttate lesions decrease; palms±soles commonly involved; infrequent familial occurrence with Polypharmacy not aggravating psoriasis. Active screening for cardiovascular comorbidities in all geriatric psoriasis patients is highly recommended.

The effects on the elderly are disproportionately Alzheimer’s disease (AD) is one of the most prevalent and chronic types of dementia. Alzheimer's disease (AD), a fatal illness that can harm brain structures and cells long before symptoms appear, is currently incurable and incurable. Using brain MRI pictures from a publicly accessible Kaggle dataset, this study suggests a prediction model based on Convolutional Neural Networks (CNNs) to help with the early detection of Alzheimer's disease. Four levels of dementia have been applied to the 6,400 photos in the collection: not demented, slightly demented, moderately demented, and considerably mildly demented. Pixel normalization, class balancing utilizing data augmentation techniques, and picture scaling to 128×128 pixels were all part of a thorough workflow for data preparation. To improve the gathering of spatial dependence in volumetric MRI data, a 3D convolutional neural network (CNN) architecture was used. We used important performance measures including F1-score, recall, accuracy, precision, and log loss to gauge the model's effectiveness. A review of the available data indicates that the total F1-score, accuracy, recall, and precision were 99.0%, 99.0%, and 99.38%, respectively. The findings demonstrate the model's potential for practical use in early AD diagnosis and establish its robustness with the help of confusion matrix analysis and performance curves.