Cognitive frailty, as one of the independent dimensions of frailty syndrome, has received increasing attention from researchers in recent years. Cognitive frailty not only reduces the quality of life for elderly people, but also increases the risk of adverse outcomes such as falls, disabilities, hospitalization, dementia, and death. This article introduces the concept, assessment methods, influencing factors, and intervention measures of cognitive frailty, emphasizing the important role of general practitioners in screening and management of cognitive frailty.

Objective:To investigate the correlation between frailty and immune markers in elderly patients diagnosed with heart failure with preserved ejection fraction(HFpEF).Methods:A total of 416 elderly patients with HFpEF, who were hospitalized in the Department of Geriatrics at Henan Provincial People's Hospital from March 2021 to December 2023, were selected as research subjects.The Fried frailty phenotype was employed to assess frailty.Fasting venous blood samples were collected to measure levels of CD4+ T lymphocytes, CD8+ T lymphocytes, the CD4+ /CD8+ ratio, and immunoglobulins A, M, and G. Spearman correlation analysis and multiple linear regression analysis were conducted to evaluate the relationship between frailty scores and immune markers.Results:Spearman correlation analysis revealed a significant association between frailty score and the CD4+ /CD8+ ratio( r=-0.659, P<0.001), immunoglobulin A( r=-0.454, P<0.001), immunoglobulin M( r=-0.522, P<0.001), and immunoglobulin G( r=-0.802, P<0.001).Furthermore, multiple linear regression analysis indicated that, after adjusting for confounding factors, frailty score served as a significant negative predictor of the CD4+ /CD8+ ratio( β=-0.562, P<0.001), immunoglobulin A( β=-0.366, P<0.001), immunoglobulin M( β=-0.445, P<0.001), and immunoglobulin G( β=-0.772, P<0.001).In comparison to the non-frail group, the frail group exhibited significantly lower values for the CD4+ /CD8+ ratio( β=-0.666, P<0.001)and levels of immunoglobulin A( β=-0.514, P<0.001), immunoglobulin M( β=-0.526, P<0.001), and immunoglobulin G( β=-0.814, P<0.001). Conclusions:In hospitalized elderly patients with heart failure with HFpEF, frailty serves as an independent risk factor for the reduction of the CD4+ /CD8+ ratio, as well as levels of immunoglobulin A, immunoglobulin M, and immunoglobulin G. Furthermore, the frailty score demonstrates a significant negative predictive value for these immunological markers.Therefore, it is essential to enhance our understanding of frailty and to prioritize its prevention and treatment, as this may help mitigate immune dysfunction and promote recovery in elderly patients.

Objective:To analyze the clinical characteristics of immune checkpoint inhibitor (ICI)-induced type 1 diabetes (T1D).Methods:This was a retrospective case series study of clinical data from 24 patients with ICI-T1D admitted to People′s Hospital of Henan Provincial between January 2018 and December 2024. The data collected included demographic characteristics, ICI usage, clinical manifestations, laboratory test results, and clinical outcome. Patients were categorized into mild and severe groups based on disease severity. Clinical characteristics between the two groups were compared using the Mann-Whitney U test. Results:Of the 24 patients, 21 (87.5%) were male and 3 (12.5%) were female, with an average age of (62.0±10.6) years. Patients in the severe disease group were significantly older than those in the mild disease group [(68.0±9.5) years vs. (58.4±9.8) years, P<0.05]. Compared to patients with mild disease, those with severe disease had significantly higher rates of impaired consciousness (9/9 vs.2/15), shorter ICI treatment cycles [3 (2, 6) vs. 6 (5, 8)], shorter time from ICI initiation to diabetes diagnosis [68 (31, 168) d vs. 162 (135, 235) d], and shorter time from the onset of diabetes symptoms to medical consultation [4 (2, 5) d vs. 8 (4, 26) d] (all P<0.05). The severe disease group also showed significantly higher blood glucose levels [43.0 (39.1, 57.3) mmol/L vs. 24.6 (19.6, 29.6) mmol/L] and a lower glycated hemoglobin level [6.8% (6.3%, 7.6%) vs. 7.9% (7.6%, 8.6%)], along with a higher incidence of fulminant T1D (8/9 vs. 2/15, all P<0.05). All patients received insulin injection therapy. After discharge, fasting C-peptide levels in 3 patients with mild disease showed a transient increase to 0.26, 0.43, 0.49 nmol/L but declined again after six months. Conclusions:ICI-T1D is characterized by acute onset and rapid progression. Older patients are more likely to develop severe disease. All patients require insulin therapy.

Objective:To explore the current status of quality of life of rheumatoid arthritis (RA) patients and its influencing factors based on the health ecology model (HEM) , and to provide a scientific basis for the development of health education programs for RA patients.Methods:From November 2023 to April 2024, 230 RA patients in the Department of Rheumatology and Immunology, General Hospital of Ningxia Medical University, were selected for the study using convenience sampling method. Patients were surveyed using the General Information Questionnaire, Quality of Life Instruments for Chronic Diseases in RA (QLICD-RA) , Health Literacy Management Scale, Social Support Rate Scale, Brief Illness Perception Questionnaire, 8-item Morisky Medication Adherence Scale, Pain Catastrophizing Scale, Chronic Disease Self-Management Study Measures, Fear of Progression Questionnaire-Short Form, Tampa Scale for Kinesiophobia and Visual Analogue Scale. Pearson and Spearman correlation was used to analyze the correlation between quality of life and health literacy, social support, disease perception, self-management behaviors, fear of disease progression, fear of exercise, medication adherence, pain catastrophizing, and pain in RA patients. Multiple linear regression was used to analyze the factors influencing the quality of life of RA patients.Results:A total of 230 questionnaires were distributed and 228 valid questionnaires were recovered, with a valid recovery rate of 99.13% (228/230) . The total QLICD-RA score of 228 RA patients was (137.53±27.57) . Duration of disease, disease perception, pain, pain catastrophizing, self-management behavior, joint deformity, morning stiffness duration, gastrointestinal response, sleep, social support, and main economic sources were the factors influencing the quality of life of RA patients ( P<0.05) , explaining 83.6% of the total variance. Conclusions:The quality of life of RA patients is moderate, and its influencing factors are distributed at all levels of HEM. Healthcare professionals can optimize the health education program for the main influencing factors of each layer, focusing on guiding patients to correctly understand the disease, stimulating the subjective initiative of patients, enhancing the ability of patients to actively manage the disease, and improving the quality of life of patients.

Objective:To explore the current status of quality of life of rheumatoid arthritis (RA) patients and its influencing factors based on the health ecology model (HEM) , and to provide a scientific basis for the development of health education programs for RA patients.Methods:From November 2023 to April 2024, 230 RA patients in the Department of Rheumatology and Immunology, General Hospital of Ningxia Medical University, were selected for the study using convenience sampling method. Patients were surveyed using the General Information Questionnaire, Quality of Life Instruments for Chronic Diseases in RA (QLICD-RA) , Health Literacy Management Scale, Social Support Rate Scale, Brief Illness Perception Questionnaire, 8-item Morisky Medication Adherence Scale, Pain Catastrophizing Scale, Chronic Disease Self-Management Study Measures, Fear of Progression Questionnaire-Short Form, Tampa Scale for Kinesiophobia and Visual Analogue Scale. Pearson and Spearman correlation was used to analyze the correlation between quality of life and health literacy, social support, disease perception, self-management behaviors, fear of disease progression, fear of exercise, medication adherence, pain catastrophizing, and pain in RA patients. Multiple linear regression was used to analyze the factors influencing the quality of life of RA patients.Results:A total of 230 questionnaires were distributed and 228 valid questionnaires were recovered, with a valid recovery rate of 99.13% (228/230) . The total QLICD-RA score of 228 RA patients was (137.53±27.57) . Duration of disease, disease perception, pain, pain catastrophizing, self-management behavior, joint deformity, morning stiffness duration, gastrointestinal response, sleep, social support, and main economic sources were the factors influencing the quality of life of RA patients ( P<0.05) , explaining 83.6% of the total variance. Conclusions:The quality of life of RA patients is moderate, and its influencing factors are distributed at all levels of HEM. Healthcare professionals can optimize the health education program for the main influencing factors of each layer, focusing on guiding patients to correctly understand the disease, stimulating the subjective initiative of patients, enhancing the ability of patients to actively manage the disease, and improving the quality of life of patients.

Cognitive frailty, as one of the independent dimensions of frailty syndrome, has received increasing attention from researchers in recent years. Cognitive frailty not only reduces the quality of life for elderly people, but also increases the risk of adverse outcomes such as falls, disabilities, hospitalization, dementia, and death. This article introduces the concept, assessment methods, influencing factors, and intervention measures of cognitive frailty, emphasizing the important role of general practitioners in screening and management of cognitive frailty.

Objective:To investigate the correlation between frailty and immune markers in elderly patients diagnosed with heart failure with preserved ejection fraction(HFpEF).Methods:A total of 416 elderly patients with HFpEF, who were hospitalized in the Department of Geriatrics at Henan Provincial People's Hospital from March 2021 to December 2023, were selected as research subjects.The Fried frailty phenotype was employed to assess frailty.Fasting venous blood samples were collected to measure levels of CD4+ T lymphocytes, CD8+ T lymphocytes, the CD4+ /CD8+ ratio, and immunoglobulins A, M, and G. Spearman correlation analysis and multiple linear regression analysis were conducted to evaluate the relationship between frailty scores and immune markers.Results:Spearman correlation analysis revealed a significant association between frailty score and the CD4+ /CD8+ ratio( r=-0.659, P<0.001), immunoglobulin A( r=-0.454, P<0.001), immunoglobulin M( r=-0.522, P<0.001), and immunoglobulin G( r=-0.802, P<0.001).Furthermore, multiple linear regression analysis indicated that, after adjusting for confounding factors, frailty score served as a significant negative predictor of the CD4+ /CD8+ ratio( β=-0.562, P<0.001), immunoglobulin A( β=-0.366, P<0.001), immunoglobulin M( β=-0.445, P<0.001), and immunoglobulin G( β=-0.772, P<0.001).In comparison to the non-frail group, the frail group exhibited significantly lower values for the CD4+ /CD8+ ratio( β=-0.666, P<0.001)and levels of immunoglobulin A( β=-0.514, P<0.001), immunoglobulin M( β=-0.526, P<0.001), and immunoglobulin G( β=-0.814, P<0.001). Conclusions:In hospitalized elderly patients with heart failure with HFpEF, frailty serves as an independent risk factor for the reduction of the CD4+ /CD8+ ratio, as well as levels of immunoglobulin A, immunoglobulin M, and immunoglobulin G. Furthermore, the frailty score demonstrates a significant negative predictive value for these immunological markers.Therefore, it is essential to enhance our understanding of frailty and to prioritize its prevention and treatment, as this may help mitigate immune dysfunction and promote recovery in elderly patients.

Objective:To analyze the clinical characteristics of immune checkpoint inhibitor (ICI)-induced type 1 diabetes (T1D).Methods:This was a retrospective case series study of clinical data from 24 patients with ICI-T1D admitted to People′s Hospital of Henan Provincial between January 2018 and December 2024. The data collected included demographic characteristics, ICI usage, clinical manifestations, laboratory test results, and clinical outcome. Patients were categorized into mild and severe groups based on disease severity. Clinical characteristics between the two groups were compared using the Mann-Whitney U test. Results:Of the 24 patients, 21 (87.5%) were male and 3 (12.5%) were female, with an average age of (62.0±10.6) years. Patients in the severe disease group were significantly older than those in the mild disease group [(68.0±9.5) years vs. (58.4±9.8) years, P<0.05]. Compared to patients with mild disease, those with severe disease had significantly higher rates of impaired consciousness (9/9 vs.2/15), shorter ICI treatment cycles [3 (2, 6) vs. 6 (5, 8)], shorter time from ICI initiation to diabetes diagnosis [68 (31, 168) d vs. 162 (135, 235) d], and shorter time from the onset of diabetes symptoms to medical consultation [4 (2, 5) d vs. 8 (4, 26) d] (all P<0.05). The severe disease group also showed significantly higher blood glucose levels [43.0 (39.1, 57.3) mmol/L vs. 24.6 (19.6, 29.6) mmol/L] and a lower glycated hemoglobin level [6.8% (6.3%, 7.6%) vs. 7.9% (7.6%, 8.6%)], along with a higher incidence of fulminant T1D (8/9 vs. 2/15, all P<0.05). All patients received insulin injection therapy. After discharge, fasting C-peptide levels in 3 patients with mild disease showed a transient increase to 0.26, 0.43, 0.49 nmol/L but declined again after six months. Conclusions:ICI-T1D is characterized by acute onset and rapid progression. Older patients are more likely to develop severe disease. All patients require insulin therapy.

Objective:To evaluate the role of hippocampal prostaglandin-endoperoxide synthase 2 (PTGS2) in baicalin-induced reduction of cognitive dysfunction after cerebral ischemia-reperfusion injury (CIRI) in mice.Methods:Thirty healthy male C57BL/6 mice, aged 16 weeks, weighing 20-25 g, were divided into 5 groups ( n=6 each) using a random number table method: control group (C group), CIRI group, baicalin+ CIRI group (B+ CIRI group), overexpression of PTGS2+ CIRI group (PTGS2+ CIRI group), and overexpression of PTGS2+ baicalin+ CIRI group (PTGS2+ B+ CIRI). In B+ CIRI group and PTGS2+ B+ CIRI group, baicalin-liposome 0.2 ml was injected through the tail vein, and the CIRI model was established 1 week later. In PTGS2+ CIRI group and PTGS2+ B+ CIRI group, PTGS2-overexpressed adeno-associated virus 1.2 μl was injected into the hippocampus, and the CIRI model was established 4 weeks later. CIRI model was established by using the transient (50 min) bilateral common carotid artery occlusion/reperfusion. On the 12th day after developing the model, the spatial learning and memory ability was evaluated using Morris water maze test. The expression of PTGS2 in the hippocampus was detected by Western blot, and the expression of tumor necrosis factor-alpha (TNF-α), interleukin-1beta (IL-1β), IL-6, Iba-1 and CD68 mRNA in the hippocampus was detected by quantitative real-time polymerase chain reaction. Results:Compared with C group, the escape latency was significantly prolonged, the time spent in the target quadrant was shortened, the number of crossing the original platform was reduced, and the expression of PTGS2 and expression of Iba-1, CD68, TNF-α, IL-1β and IL-6 mRNA in the hippocampus was up-regulated in CIRI group ( P<0.05). Compared with CIRI group, the escape latency was significantly shortened, the time spent in the target quadrant was prolonged, the number of crossing the original platform was increased, and the expression of PTGS2 and expression of Iba-1, CD68, TNF-α, IL-1β and IL-6 mRNA in the hippocampus was down-regulated in B+ CIRI group, and the escape latency was significantly prolonged, the time spent in the target quadrant was shortened, the number of crossing the original platform was reduced, and the expression of PTGS2 and expression of Iba-1, CD68, TNF-α, IL-1β and IL-6 mRNA in the hippocampus was up-regulated in PTGS2+ CIRI group ( P<0.05). Compared with B+ CIRI group, the escape latency was significantly prolonged, the time spent in the target quadrant was shortened, the number of crossing the original platform was reduced, and the expression of PTGS2 and expression of Iba-1, CD68, TNF-α, IL-1β and IL-6 mRNA in the hippocampus was up-regulated in PTGS2+ B+ CIRI group ( P<0.05). Conclusions:The mechanism by which baicalin attenuates cognitive dysfunction after CIRI is related to down-regulation of hippocampal PTGS2 expression and inhibition of neuroinflammation in mice.

Cognitive frailty, as one of the hotspots in the field of geriatric medicine research, is a disease state where physical frailty and cognitive impairment coexist. Cognitive frailty is related to sociodemographic factors, nutritional status, geriatric syndrome, physical and cognitive activities, comorbidities, etc., but the underlying mechanisms are not yet clear. Cognitive frailty not only increases the risk of adverse health outcomes such as falls, disability, and hospitalization in the elderly, but also exacerbates the burden on families and public healthcare systems. This article reviews the recent progress on the cognitive frailty in the elderly, focusing on the awareness of cognitive frailty, the related mechanisms and influencing factors, the assessment methods and non-pharmaceutical interventions to provide reference for clinical application.