1.Clinical characteristics and related factors of patients with chronic obstructive pulmonary disease complicated by obstructive sleep apnea
Cancan YUAN ; Junwen CHEN ; Ke HU ; Ping LI ; Yeya WANG
Chinese Journal of Primary Medicine and Pharmacy 2021;28(5):671-675
Objective:To investigate the clinical characteristics and related factors of patients with chronic obstructive pulmonary disease (COPD) complicated by obstructive sleep apnea (OSA).Methods:The clinical data of 153 patients with COPD who received treatment in Xiangyang First People's Hospital from July 2018 to December 2019 were retrospectively analyzed. A total of 101 patients with complete data regarding pulmonary function and polysomnography who met inclusion criteria were selected. They were divided into simple COPD (COPD group, n = 33) and COPD + OSA (OS group, n = 68) groups according to whether they developed OSA. General clinical data, pulmonary function indexes and polysomnography indexes were compared between the COPD and OS groups. Logistic regression analysis was performed to analyze the degree of airflow limitation and the related factors of COPD combined with OSA. Results:There were more males than females in each group. In the OS group, the proportion of males, body mass index, forced expiratory volume in one second (FEV 1), forced expiratory volume in 1 second percent predicted (FEV 1%pred), the ratio of FEV 1 to forced vital capacity (FVC), apnea-hypopnea index and oxygen desaturation index in the OS group were 92.6%, 24.0 (23.4, 24.8) kg/m 2, 1.2 (1.2, 1.5) L, 50.0 (49.6, 59.4)%, 49.1 (46.9, 53.0)%, 15.4 (16.4, 25.3) times/h, 14.8 (17.3, 25.6) times/h, respectively, which were significantly higher than those in the COPD group [75.8%, 23.0 (21.6, 23.7) kg/m 2, 0.9 (0.9, 1.1) L, 41.0 (38.3, 49.1) %, 41.9 (39.5, 49.24)%, 1.9 (1.6, 2.4) times/h, 4.0 (3.7, 9.7) times/h, t or U = 4.246, 1 399.000, 1 544.500, 1 483.000, 1 407.000, 2 244.000, 1 915.000, all P < 0.05]. The lowest oxygen saturation at night in the OS group was significantly lower than that in the COPD group [81.5 (79.4, 82.6) % vs. 87.0 (80.2, 86.6) %, U = 758.500, P < 0.05]. There were no significant differences in age, smoking index and forced vital capacity between COPD and OS groups ( t = - 0.963, 1 150.000, - 1.954, all P > 0.05). Correlation and Logistic regression analysis revealed that the risk of severe or very severe airflow limitation was lower in the OS group than in the COPD group ( OR = 0.392, P < 0.05). BMI, FEV 1, FEV 1%pred were the risk factors of COPD combined with OSA ( OR = 1.185, 5.554, 1.034, all P < 0.05). BMI and FEV 1 were the independent risk factors of COPD combined with OSA ( OR = 1.168, 5.248, both P < 0.05). Conclusion:COPD and OSA are more common in males and in patients with higher BMI. OSA patients tend to develop lower degree of airflow limitation and more severe hypoxemia and apnea-hypopnea at night than COPD patients. Apnea-hypopnea index is the protective factor against airflow limitation in COPD. BMI, FEV 1 and FEV 1%pred are the risk factors of COPD combined with OSA. BMI and FEV 1 are the independent risk factors of COPD combined with OSA.
2.Construction of Collaborative Relationship Model between Clinical Pharmacists and Physicians in China
Qiong ZHANG ; Cancan YUAN ; Meiling LENG ; Xiaoyu XI
China Pharmacy 2019;30(5):711-716
OBJECTIVE: To construct a collaborative relationship model between clinical pharmacists and physicians which is suitable for medical situations in China, and to provide guidance and reference for the relevant research. METHODS: Guided by theories relating to collaborative relationship, combined with the existing collaborative theories and practices of collaboration between pharmacists and physicians, the model was constructed through model synthesis, and was revised and improved on the basis of expert interview. Finally, the theory of the model was constructed. RESULTS: The collaborative relationship model of clinical pharmacists and physicians in China (CPPCR) was built, which was composed of five collaborative levels and three types of collaborative factors. Five collaborative levels included collaborative demand germination period, collaborative value identification period, collaborative relationship bonding period, collaborative mode strengthening period and collaborative relationship establishment period, while three types of collaborative factors included individual characteristics, work environment characteristics and interactive characteristics of clinical pharmacists and physicians. CONCLUSIONS: CPPCR is helpful to provide reference and basis for promoting their collaborative relationship and the development of related research.