Objective:To construct multimorbidity patterns among elderly individuals with chronic diseases and to explore the relationship between these patterns and frailty.Methods:A cross-sectional study was conducted involving 4, 706 elderly participants aged 60 years and older from selected prefecture-level cities in Shaanxi Province.Data were collected on general information, chronic diseases, and frailty status.The average age of the participants was 69.9±6.7 years, with males comprising 47.3%(2, 255 cases)and females comprising 52.7%(2, 481 cases)of the sample.Latent class analysis(LCA)was employed to identify multimorbidity patterns, while multivariate logistic regression analysis was utilized to examine the associations between these patterns and frailty.Results:The prevalence of multimorbidity within the study population was found to be 43.6%(2, 052 cases out of 4, 706 cases).The highest rates of multimorbidity were observed in anxiety and depression(100%, 23 cases out of 23 cases), dementia(100%, 6 cases out of 6 cases), and Parkinson's disease(100%, 11 cases out of 11 cases).Stroke followed closely with a rate of 96.8%(597 cases out of 617 cases), while rheumatoid arthritis exhibited the lowest rate of multimorbidity with other chronic diseases at 50%(4 cases out of 8 cases).Five distinct multimorbidity patterns were identified through LCA: the complex multimorbidity class(123 cases), the stroke-respiratory class(546 cases), the sleep disorders-osteoarticular class(488 cases), the cardiovascular-metabolic class(987 cases), and the relatively healthy class(2, 562 cases).When compared to the relatively healthy class, the complex multimorbidity class( OR=2.317, 95% CI: 1.573-3.412), stroke-respiratory class( OR=2.279, 95% CI: 1.862-2.788), sleep disorders-osteoarticular class( OR=1.370, 95% CI: 1.111-1.691), and cardiovascular-metabolic class( OR=1.185, 95% CI: 1.003-1.400)were all found to be significantly associated with frailty. Conclusions:The cardiovascular-metabolic class is the most prevalent among elderly individuals.Various patterns exhibit distinct associations with frailty, with the complex multimorbidity class and the stroke-respiratory class being the most significant, as they markedly elevate the risk of frailty.

Dyslipidemia refers to the increased level of TG and total cholesterol in plasma, and also generally refers to other forms of dyslipidemia, which is characterized by non-obvious symptoms in the early stage of the disease, and the first episode is cardiovascular disease. The prevalence of dyslipidemia varies with country, region and population, and the prevalence of dyslipidemia in China is in increase, which is influenced by various risk factors. This paper summarizes the prevalence and risk factors of dyslipidemia and introduces the emerging risk factors of dyslipidemia, such as HIV infection, systemic lupus erythematosus, sarcopenia and environmental problem.

Dyslipidemia refers to the increased level of TG and total cholesterol in plasma, and also generally refers to other forms of dyslipidemia, which is characterized by non-obvious symptoms in the early stage of the disease, and the first episode is cardiovascular disease. The prevalence of dyslipidemia varies with country, region and population, and the prevalence of dyslipidemia in China is in increase, which is influenced by various risk factors. This paper summarizes the prevalence and risk factors of dyslipidemia and introduces the emerging risk factors of dyslipidemia, such as HIV infection, systemic lupus erythematosus, sarcopenia and environmental problem.

Objective:To construct multimorbidity patterns among elderly individuals with chronic diseases and to explore the relationship between these patterns and frailty.Methods:A cross-sectional study was conducted involving 4, 706 elderly participants aged 60 years and older from selected prefecture-level cities in Shaanxi Province.Data were collected on general information, chronic diseases, and frailty status.The average age of the participants was 69.9±6.7 years, with males comprising 47.3%(2, 255 cases)and females comprising 52.7%(2, 481 cases)of the sample.Latent class analysis(LCA)was employed to identify multimorbidity patterns, while multivariate logistic regression analysis was utilized to examine the associations between these patterns and frailty.Results:The prevalence of multimorbidity within the study population was found to be 43.6%(2, 052 cases out of 4, 706 cases).The highest rates of multimorbidity were observed in anxiety and depression(100%, 23 cases out of 23 cases), dementia(100%, 6 cases out of 6 cases), and Parkinson's disease(100%, 11 cases out of 11 cases).Stroke followed closely with a rate of 96.8%(597 cases out of 617 cases), while rheumatoid arthritis exhibited the lowest rate of multimorbidity with other chronic diseases at 50%(4 cases out of 8 cases).Five distinct multimorbidity patterns were identified through LCA: the complex multimorbidity class(123 cases), the stroke-respiratory class(546 cases), the sleep disorders-osteoarticular class(488 cases), the cardiovascular-metabolic class(987 cases), and the relatively healthy class(2, 562 cases).When compared to the relatively healthy class, the complex multimorbidity class( OR=2.317, 95% CI: 1.573-3.412), stroke-respiratory class( OR=2.279, 95% CI: 1.862-2.788), sleep disorders-osteoarticular class( OR=1.370, 95% CI: 1.111-1.691), and cardiovascular-metabolic class( OR=1.185, 95% CI: 1.003-1.400)were all found to be significantly associated with frailty. Conclusions:The cardiovascular-metabolic class is the most prevalent among elderly individuals.Various patterns exhibit distinct associations with frailty, with the complex multimorbidity class and the stroke-respiratory class being the most significant, as they markedly elevate the risk of frailty.

Objective:By conducting a retrospective analysis of the clinical data of 14 patients diagnosed with invasive fungal rhinosinusitis (IFRS) confirmed by metagenomics next generation sequencing (mNGS) technology, we aim to explore the rapid diagnosis value of mNGS in IFRS.Methods:The clinical data of 14 IFRS patients admitted to TianJin First Central Hospital were retrospectively analyzed from February 2021 to October 2023. The study cohort comprised 8 males and 6 females, with ages ranging from 14 to 77 years. All patients were diagnosed as IFRS by performing mNGS sequencing technology of nasal sinus lesion biopsy specimens. Clinical data such as laboratory examination, imaging examination, histopathological examination results, treatment plan and prognosis were summarized and analyzed.Results:All 14 patients were diagnosed as IFRS, with mNGS detecting pathogens such as Rhizopus (7 cases), Aspergillus (5 cases), Trichoderma (1 case), and Scedosporium apiospermum (1 case). Follow-up evaluations were conducted for a period ranging from 2 months to 2 years post-treatment. At the end of follow-up, 11 out of 14 IFRS patients achieved a complete cure with no signs of recurrence, while the symptoms of the remaining 3 patients significantly improved with comprehensive treatment. Conclusion:mNGS emerges as a highly effective diagnostic tool for IFRS, providing valuable microbiological evidence for clinical diagnosis and demonstrating promising clinical utility.

Objective: To establish an animal model of hypoxia-induced bronchopulmonary dysplasia asso-ciated with pulmonary hypertension (BPD-PH). Methods: C57BL/6 male and female specific pathogen free mice mated and female mice with their offspring mice were randomly divided into normoxic group and hypoxia group by way of numerical method.Normoxic group was placed in the indoor environment directly.Hypoxia group was placed in 120 mL/L oxygen concentration environment within 12 hours after birth.Body weight gain and mortality of the neonatal mice were recorded.The mice lungs and hearts were harvested on day 14 for immunofluorescence staining and HE staining, and Western blot was used to observe the morphological changes and vascular endothelial growth factor (VEGF) protein level. Results: The mortality rates of normoxic group and hypoxic group were 11.8% and 47.3%, respectively.Compared with the normoxic group, body weight of hypoxia group increased slowly, as the final body weight of 2 groups were (12.40±2.33) g and (5.50±0.32) g, respectively, and the difference was significant (χ²=13.38, t=20.50, all P<0.01). Hypoxia group showed higher right ventricular hypertrophy index [(96.00±0.15)% vs.(40.40±4.00)%, t=41.67, P<0.01], fusion of alveolar, diminished microvasculature, thickening alveolar septal, decreased alveolar radiation coefficient (RAC)(19.73±2.33 vs.10.90±1.85) and increased mean linear intercept(MLI) (33.2±4.33 vs.58.70±7.27) with statistical significance, respectively (t=16.27, 9.53, all P<0.01). In the lung HE staining, pulmonary arterial thickening, pulmonary smooth muscle cell proliferation and intimal roughness in immunofluorescence, significantly decreased expression of VEGF protein level by Western blot were observed in hypoxic group (0.41±0.04 vs.1.19±0.08, t=15.10, P<0.01). Conclusions Hypoxia-induced mouse BPD-PH model was consistent with the pathophysiological process of pulmonary vascular remodeling of pulmonary hypertension, which increase pulmonary vascular resistance eventually leading to right ventricular hypertrophy.