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Clinical effect and influencing factors of intravenous thrombolysis with ateplase in patients with acute cerebral infarction aged 80 years and over LI Yin-zhen, ZHANG Jing-wen, ZHENG Yong-qiang Practical Geriatrics    2021, 35 (5): 463-466.   DOI: 10.3969/j.issn.1003-9198.2021.05.008 Abstract （267）      PDF （4255KB）（5552）       Objective To investigate the clinical efficacy, safety and influencing factors of intravenous thrombolysis with ateplase (rt-PA) in the elderly patients with acute cerebral infarction. Methods A total of 117 patients with acute cerebral infarction with onset time less than 4.5 hours admitted to our hospital from January 2017 to October 2020 were retrospectively analyzed, including 81 males and 36 females. According to age, 83 patients were assigned in control group (＜80 years old) and 34 patients in observation group(≥80 years old). All patients of the two groups were given intravenous thrombolysis with 0.9 mg/kg rt-PA. The acute efficacy [improvement of National Institute of Health stroke scale (NIHSS) score within 14 days], short-term efficacy (Modified Rankin Scale score within 90 days) and safety of rt-PA in the two groups were compared. The influencing factors for the prognosis of intravenous thrombolysis were analyzed by multiple Logistic regression. Results There were no significant differences in curative effect, the incidence rate of complications induced by thrombolysis and mortality after thrombolytic therapy between the two groups (P>0.05). The incidence rate of complications not induced by thrombolysis in observation group was higher than that in control group (20.59% vs 6.02%, P=0.018). Based on multiple Logistic regression analysis, NIHSS score before thrombolysis and complications not inducecd by thrombolysis were independent risk factors for the clinical outcome of intravenous thrombolysis after 90 days. Conclusions Using rt-PA in the thrombolytic time window of the elderly patients with acute cerebral infarction is safe and effective. The score of NIHSS before thrombolysis and complications not induced by thrombolysis shows effects on the prognosis of the patients with acute cerebral infarction aged 80 years old and over. Reference | Related Articles | Metrics

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Practical Geriatrics    2024, 38 (1): 72-76.   DOI: 10.3969/j.issn.1003-9198.2024.01.017 Abstract （121）      PDF （1101KB）（3803）       Reference | Related Articles | Metrics

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Practical Geriatrics    2010, 24 (1): 13-.   Abstract （873）      PDF （1278KB）（8493）       Related Articles | Metrics

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Practical Geriatrics    2023, 37 (10): 1076-1080.   DOI: 10.3969/j.issn.1003-9198.2023.10.026 Abstract （141）      PDF （999KB）（3968）       Reference | Related Articles | Metrics

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Practical Geriatrics    2023, 37 (10): 978-983.   DOI: 10.3969/j.issn.1003-9198.2023.10.002 Abstract （117）      PDF （1157KB）（3184）       Reference | Related Articles | Metrics

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Practical Geriatrics    2024, 38 (2): 109-113.   DOI: 10.3969/j.issn.1003-9198.2024.02.001 Abstract （172）      PDF （1278KB）（2792）       Reference | Related Articles | Metrics

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Epidemiological characteristics of chronic respiratory diseases in the elderly LI Xiang, LI Xuan, TIAN Yingxuan Practical Geriatrics    2025, 39 (3): 217-222.   DOI: 10.3969/j.issn.1003-9198.2025.03.001 Abstract （60）      PDF （1169KB）（115）       Chronic respiratory diseases impose a heavy burden on the elderly, which significantly influence their quality of life. This article reviews the epidemiological characteristics and risk factors of some common chronic respiratory diseases, including chronic airway inflammation, lung cancer, idiopathic pulmonary fibrosis and tuberculosis, aiming to provide insights for clinical prevention and treatment of chronic respiratory diseases in the elderly. Reference | Related Articles | Metrics

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Effects of social isolation, sleep quality and their interaction on cognitive function in the elderly WU Gen-li, ZHANG Li, ZHAO Ya-xuan Practical Geriatrics    2023, 37 (5): 495-499.   DOI: 10.3969/j.issn.1003-9198.2023.05.015 Abstract （129）      PDF （1039KB）（2635）       Objective To explore the effect of social isolation, sleep quality and their interaction on cognitive function in the elderly. Methods From October to December 2021, stratified sampling method was used to select 520 elderly people from Bengbu City. Lubben Social Network Scale, Pittsburgh Sleep Quality Index and Montreal Cognitive Assessment-Basic were used to evaluate the social isolation, sleep quality and cognitive function of the elderly, and Logistic regression analysis and interaction analysis were used to analyze the association among them. Results A total of 506 elderly were enrolled in the study finally. Among the 506 elderly, 166(32.8%) presented with social isolation, 138(27.3%) with sleep disorders, and 116(22.9%) with cognitive dysfunction. After adjusting age, education level, living status, marital status, and combined chronic diseases, the results of binary Logistic regression analysis showed that social isolation(OR=3.637, 95%CI:2.174-6.205) and sleep disorder(OR= 3.308, 95%CI:1.970-5.556) were the influencing factors of cognitive dysfunction in the elderly. The results of interaction analysis showed that the risk of cognitive impairment in the elderly with social isolation and sleep disorder was 11.811(95%CI:5.923-23.552) times higher than that in the elderly without social isolation and sleep disorder, with a relative excess risk due to interaction(RERI) of 8.167(95%CI:0.199-16.134), with an attributable proportion of interaction(AP)of 0.640(95%CI:0.379-0.902), with the synergy index(S) of 3.276(95%CI:1.374-7.814). Conclusions Social isolation and sleep quality are the risk factors of cognitive function in the elderly, and their effects on cognitive function have additive interaction. Reference | Related Articles | Metrics

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Practical Geriatrics    2020, 34 (11): 1213-.   Abstract （231）      PDF （4482KB）（3977）       Related Articles | Metrics

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Practical Geriatrics    2024, 38 (3): 232-235.   DOI: 10.3969/j.issn.1003-9198.2024.03.005 Abstract （112）      PDF （1157KB）（1924）       Reference | Related Articles | Metrics

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Practical Geriatrics    2024, 38 (4): 325-329.   DOI: 10.3969/j.issn.1003-9198.2024.04.001 Abstract （111）      PDF （1070KB）（1885）       Reference | Related Articles | Metrics

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XIE Xiang-Ming Practical Geriatrics    2015, 29 (6): 452-.   Abstract （231）      PDF （1032KB）（5019）       Related Articles | Metrics

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Practical Geriatrics    2023, 37 (9): 878-881.   DOI: 10.3969/j.issn.1003-9198.2023.09.004 Abstract （110）      PDF （1042KB）（3337）       Reference | Related Articles | Metrics

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Practical Geriatrics    2021, 35 (5): 507-508.   DOI: 10.3969/j.issn.1003-9198.2021.05.019 Abstract （216）      PDF （4255KB）（2263）       Reference | Related Articles | Metrics

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Practical Geriatrics    2024, 38 (3): 299-303.   DOI: 10.3969/j.issn.1003-9198.2024.03.021 Abstract （88）      PDF （1073KB）（1728）       Reference | Related Articles | Metrics

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Practical Geriatrics    2024, 38 (2): 119-122.   DOI: 10.3969/j.issn.1003-9198.2024.02.003 Abstract （153）      PDF （1125KB）（1997）       Reference | Related Articles | Metrics

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Study on the predictive value of Padua score for venous thromboembolism in elderly inpatients GAO Wei-fei, LI Peng, QIAO Zhen, MA Li-na Practical Geriatrics    2023, 37 (8): 803-805.   DOI: 10.3969/j.issn.1003-9198.2023.08.012 Abstract （113）      PDF （1045KB）（2229）       Objective To assess the predictive value of Padua score for venous thromboembolism(VTE) in the elderly inpatients. Methods A retrospective analysis was performed and 150 elderly inpatients in Department of General Practice of Hangzhou Third People's Hospital from January 2018 to June 2021 were included. All of them underwent CT pulmonary angiography or venous ultrasound of both upper(lower)limbs, and were divided into VTE group and non-VTE group. The baseline data including age, gender, underlying disease, Padua score, D-dimer, mean platelet volume(MPV), albumin were collected and compared between the two groups. Multivariate Logistic regression was used to analyze the risk factors of VTE. Receiver operating characteristic (ROC) curve analysis was carried out to assess the predictive value of Padua score. Results There were statistically significant differences in Padua score, age, hypertension, acute infection, D-dimer, MPV and albumin between the two groups. Multivariate Logistic regression analysis showed that aged ≥85 years old was the independent risk factor for VTE of elderly inpatients. The area under the curve (AUC) of Padua score to predict the incidence of VTE was 0.631, with a cut-off value of 4.5, and the Youden index was 0.36. Conclusions The predictive value of Padua score for VTE in elderly inpatients is limited. Reference | Related Articles | Metrics

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WU Ming-Hua Practical Geriatrics    2015, 29 (10): 796-.   Abstract （435）      PDF （1096KB）（5325）       Related Articles | Metrics

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Practical Geriatrics    2020, 34 (2): 205-.   Abstract （232）      PDF （3269KB）（3728）       Related Articles | Metrics

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LV Li-Wei Practical Geriatrics    2010, 24 (3): 181-.   Abstract （1062）      PDF （1007KB）（5841）       Related Articles | Metrics

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Comparison of the intervention effect of combination of pneumonia vaccine and influenza vaccine on respiratory diseases in the elderly patients with chronic diseases FENG Xiao-lei, LI Li, ZHU Mei-yu Practical Geriatrics    2021, 35 (12): 1284-1287.   DOI: 10.3969/j.issn.1003-9198.2021.12.019 Abstract （162）      PDF （1062KB）（4335）       Objective To compare the intervention effect of pneumonia vaccine and influenza vaccine on respiratory diseases in the elderly patients with chronic diseases. Methods From August 2017 to August 2019, a total of 150 elderly patients with chronic diseases(aged ≥ 60 years) who met the vaccination criteria were vaccinated in the Preventive Medicine Outpatient Department of Jiangsu Provincial Center for Disease Control and Prevention. They were divided into 3 groups according to the vaccination orders. Of them, 50 cases in pneumonia vaccine group were only inoculated with pneumonia vaccine, 50 cases in influenza vaccine group were only inoculated with influenza vaccine, while 50 cases in combined vaccination group were inoculated with both vaccines. The treatment and hospitalization, the occurrence rate of adverse reactions, pneumonia and influenza were compared among the three groups. Results Compared with pneumonia vaccine group and influenza vaccine group, the combined inoculation group had more reduced numbers of visit, hospitalization and shorter duration of hospitalization (all P<0.05). The difference of total adverse reaction incidence was not significant among the three groups(P＞0.05). The incidence of pneumonia in the pneumonia vaccine group and the combined inoculation group was lower than that in the influenza vaccine group (P<0.05); While the incidence of influenza in the influenza vaccine group and the combined inoculation group was lower than that in the pneumonia vaccine group (P<0.05). Conclusions The combined inoculation of pneumonia vaccine and influenza vaccine can significantly reduce the visiting rate and hospitalization rate of respiratory system diseases among the elderly patients with chronic diseases, which can shorten the hospitalization duration and prevent the occurrence of pneumonia and influenza effectively with low adverse reaction rate. Reference | Related Articles | Metrics

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Practical Geriatrics    2023, 37 (9): 873-877.   DOI: 10.3969/j.issn.1003-9198.2023.09.003 Abstract （146）      PDF （1107KB）（2065）       Reference | Related Articles | Metrics

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Practical Geriatrics    2020, 34 (1): 81-.   Abstract （509）      PDF （6776KB）（2380）       Related Articles | Metrics

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XU Qian, LI Qian-Qian, DAN An-Xia, LIU Cun-Zhi Practical Geriatrics    2015, 29 (6): 511-.   Abstract （162）      PDF （928KB）（3573）       Related Articles | Metrics

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Practical Geriatrics    2024, 38 (4): 334-337.   DOI: 10.3969/j.issn.1003-9198.2024.04.003 Abstract （103）      PDF （1197KB）（1490）       Reference | Related Articles | Metrics

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Practical Geriatrics    2023, 37 (9): 956-959.   DOI: 10.3969/j.issn.1003-9198.2023.09.022 Abstract （69）      PDF （1030KB）（1542）       Reference | Related Articles | Metrics

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Practical Geriatrics    2020, 34 (1): 10-.   Abstract （551）      PDF （6776KB）（2092）       Related Articles | Metrics

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Practical Geriatrics    2024, 38 (3): 223-227.   DOI: 10.3969/j.issn.1003-9198.2024.03.003 Abstract （121）      PDF （1187KB）（1420）       Reference | Related Articles | Metrics

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Practical Geriatrics    2024, 38 (2): 193-197.   DOI: 10.3969/j.issn.1003-9198.2024.02.021 Abstract （107）      PDF （1061KB）（1551）       Reference | Related Articles | Metrics

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CHENG Chu-Jiang, JIN Yi Practical Geriatrics    2017, 31 (1): 3-.   Abstract （152）      PDF （5043KB）（2343）       Related Articles | Metrics