[Self-reported quality of life in patients with coronary heart disease and analysis of the associated factors]

Objective: To investigate the quality of life and associated factors in patients with coronary heart disease (CHD) in China. Methods: A cross-sectional study of 25 provinces and cities in China was performed from June to September 2020. A questionnaire was used to collect the socio-demographic and clinical information of patients with CHD, while the European Five-dimensional Quality of Life Scale (EQ-5D) was used to assess the quality of life. Multiple linear regression model was performed to analyze the associated factors. Results: The median age of the 1 075 responders was 60 (52, 67) years, and 797 (74.1%) were men. The EQ-5D and EQ-VAS indices were 0.7 (0.5, 0.8) and 60.0 (40.0, 80.0). Among the five dimensions in the quality of life scale, the frequency of anxiety/depression was the highest (59.8%), while problems in self-care was the lowest (35.8%). In the multiple linear regression model, female, increasing age, obesity, comorbidity(ies), anxiety/depression, social media channels, and receiving the CABG therapy were associated with the lower EQ-5D index (all P<0.05). In addition, increasing age, obesity, comorbidity (ies), depression, anxiety and depression, social media channels, and receiving the CABG therapy were associated with lower EQ-VAS index (all P<0.05). Conclusion: Over half of the patients with CHD in China have a low quality of life, which is related to gender, age, obesity, treatment pathway, the presence or absence of comorbidity (ies), and psychological state. In addition to managing the adverse effects of traditional socio-demographic factors on the quality of life, clinical practices should pay attention to the psychological state of patients. Moreover, establishing a WeChat group for doctor-patient communication could improve the quality of life of CHD patients.

[Consistency evaluation of target heart rate determined by anaerobic threshold and by resting heart rate in patients with coronary artery disease after percutaneous coronary intervention]

Objective: To evaluate the consistency on the determination of target heart rate by simple calculation method based on resting heart rate and by anaerobic threshold method in cardiopulmonary exercise test (CPET) for patients with coronary artery disease after percutaneous coronary intervention (PCI). Methods: This study was a diagnostic test. Patients with coronary artery disease who underwent the first PCI in the Department of Cardiology of Peking University People's Hospital from October 2011 to April 2021 were enrolled. Patients were further divided into subgroups according to gender, age (<60 years group and ≥60 years group), with or without myocardial infarction history (myocardial infarction group and angina pectoris group) and whether β blockers were applied. The general clinical data of patients, resting heart rate (RHR) and anaerobic threshold heart rate in CPET were collected through the electronic medical record system. The simple target rate (RHR plus 20 or 30 bpm) and the target rate calculated by anaerobic threshold (anaerobic threshold heart rate minus 10 bpm) were both calculated in each patient. Consistency test of target heart rate derived by above the two methods was shown by intra-class correlation (ICC) and Bland-Altman plots. Results: A total of 439 patients were included, age was (56.2±8.8) years, body mass index was (25.77±2.34) kg/m², there were 382 males (87.0%). The target heart rate determined by anaerobic threshold method was (90.0±11.8)bpm, and the simple target heart rate determined by RHR plus 20 bpm was (91.0±8.4)bpm. There was no significant difference on the target heart rate derived from the two calculation methods (P=0.091). The simple target heart rate determined by RHR plus 30 bpm was (101.0±8.4)bpm, which was significant higher than that determined by anaerobic threshold method (P<0.001). In the following analysis, RHR plus 20 bpm was defined as the simple target heart rate. The ICC value of target heart rate determined by anaerobic threshold and resting rate plus 20 bpm was 0.529(95%CI 0.458-0.593, P<0.001). Bland-Altman plots analysis showed that the ratio of the simple target heart rate and the target heart rate determined by anaerobic threshold method was 1.03±0.11 and the 95% limits of agreement (LOA) were 0.812-1.245. In the subgroup of patients aged<60 years (n=247), the ICC value was 0.492, the ratio by Bland-Altman plots analysis was 1.02±0.11 and LOA was 0.814-1.234; in the subgroup of patients aged ≥60 years (n=192), the ICC value was 0.566, the ratio by Bland-Altman plots analysis was 1.03±0.11 and LOA was 0.810-1.260. In male subgroup(n=382), the ICC value was 0.540, the ratio by Bland-Altman plots analysis was 1.03±0.11 and LOA was 0.813-1.246; in female subgroup(n=57), the ICC value was 0.445, the ratio by Bland-Altman plots analysis was 1.03±0.11 and LOA was 0.810-1.240.In myocardial infarction subgroup (n=186), the ICC value was 0.568, the ratio by Bland-Altman plots analysis was 1.02±0.11 and LOA was 0.810-1.227; in angina pectoris subgroup (n=253), the ICC value was 0.495, the ratio by Bland-Altman plots analysis was 1.04±0.11 and LOA was 0.813-1.260. In the subgroup of patients with β blockers (n=353), the ICC value was 0.520, the ratio by Bland-Altman plots analysis was 1.03±0.11 and LOA was 0.810-1.252; in the subgroup of patients without β blockers (n=86), the ICC value was 0.570, the ratio by Bland-Altman plots analysis was 1.02±0.10 and LOA was 0.821-1.219. Conclusions: The simple target heart rate determined by RHR plus 20 bpm is consistent with the target heart rate determined by anaerobic threshold in patients with coronary artery disease after PCI. But the simple target heart rate determined by RHR plus 20 bpm can't replace the target heart rate determined by anaerobic threshold in this patient cohort.

[An analysis of insomnia and its influencing factors in patients with acute coronary syndrome]

Objective: To investigate the current situation of insomnia in patients with acute coronary syndrome (ACS), and analyze the influencing factors of insomnia in the ACS patients, so as to provide information on the development of new strategies for the treatment of insomnia in ACS patients. Methods: This is a multicenter and prospective observational study. A total of 771 ACS patients who met the criteria were selected from March 2013 to June 2015. The baseline social demographic information, sleep quality questionnaire, general anxiety disorder scale-7(GAD-7),patient health questionnaire-9(PHQ-9), short-form 12 health survey questionnaire(SF-12), and enhancing recovery in coronary heart disease patients social inventory(ESSI) were completed within 7 days after admission. Logistic regression analyses were used to analyze the influencing factors of insomnia in ACS patients. Results: A total of 741 subjects with valid questionnaires were collected, including 510 males (68.8%) and 231 females (31.2%). Among them, 487 (65.7%) subjects had at least one insomnia symptom: 308 (41.6%) subjects had difficulty in falling asleep, 369 (49.8%) subjects were easy to wake at night, 116 (15.7%) subjects woke up earlier than they expected, 74 (10.0%) subjects experienced both woke up earlier and difficulty in falling asleep, and 53 (7.2%) subjects woke up earlier, woke up at night and had difficulty in falling asleep at the same time. Logistic regression analyses showed that before admission physical activity (OR =0.636, 95%CI 0.411-0.984), depression (OR=1.908, 95%CI 1.101-3.305) and low social support (OR=0.278, 95%CI 1.198-3.301) were independent factors of insomnia in ACS patients. Conclusions: Nearly 2/3 ACS patients have symptoms of insomnia. Difficulty in falling asleep and easy to wake up at night are the most common manifestations. Physical activity, depression and social support independently are associated with insomnia.

[Social support status and related influential factors of patients with acute coronary syndrome]

Objectives: To investigate the social support status, related influential factors and the impact on one year outcome in patients with acute coronary syndrome (ACS), our data might be helpful to provide basis for making new treatment strategy aimed at improving social support for patients with ACS. Methods: From January 2013 to June 2014, a total of 778 hospitalized patients with ACS were enrolled in the study. All patients completed enhancing recovery in coronary heart disease patients social support inventory(ESSI), general anxiety disorder scale(GAD-7), patient health questionnaire(PHQ-9), short-form 12 health survey questionnaire(SF-12), sleep questionnaire and demographic questionnaire within 7 days after admission and at 6 months and one year post discharge. Multiple linear regressions were performed to analyze factors that influenced the social support. Results: The total score of social support was 17.08±3.61, 17.72±3.04, and 17.76±3.05 respectively in patients with ACS at baseline, 6 months and 12 months after discharge. Patients had a higher point of social support at 6 months (t=-2.69, P<0.01) and 12 months (t=-2.86, P<0.01) after discharge than at baseline. Multiple regression analysis for baseline data identified five significant predictors of low social support status: workers or farmers (t=2.82, P<0.01), low family monthly income (t=2.42, P<0.05), anxiety (t=-3.66, P<0.01), depression (t=-3.22, P<0.01) and low quality of life (t=4.38, P<0.01). Conclusions: Social support of patients with ACS is lower in China, and there are significant relationships between low social support and occupation, economic status, anxiety, depression, quality of life of ACS patients.

[Efficacy and safety of tertiary hospital guided and community-driven family self-help cardiac rehabilitation model]

Objective: To explore the efficacy and safety of tertiary hospital guided and community-driven family self-help cardiac rehabilitation model. Methods: This study was a prospective randomized controlled study, 80 patients from Beijing Electrical Power Hospital and Beijing Jingmei Group General Hospital with acute coronary syndrome were included from June to December 2015 and divided into 2 groups. Patients in rehabilitation group (n=52) received tertiary hospital(Peiking University Peoples' Hospital) guided and community-driven family self-help cardiac rehabilitation for 3 months, and patients in control group (n=28) received routine secondary treatment for 3 months. Following parameters including 6 minutes walk distance, score of life quality (evaluated by Short Form-12), score of anxiety (evaluated by Generalized Anxiety Disorder-7), score of depression (evaluated by Perceived Health Questionnaire-9), self-management competency (evaluated by questionnaire) were collected at baseline and after treatment for 3 months. Results: Compared with control group, 6 minutes walk distance was longer in rehabilitation group((60.2±6.8) meters vs. (24.9±10.5)meters, P<0.01). The difference values between after and before intervention of life quality scores((0.14±3.90)scores vs.(-7.44±5.85)scores, P>0.05), anxiety scores((-0.16±2.12 ) scores vs.(0.70±1.13)scores, P>0.05) and depression scores((-1.17±2.79) scores vs.(0.60±0.36)scores, P>0.05) were similar between the 2 groups. The amplification of patients with regular exercise (50.26% vs. 0, P<0.05), limit sugary foods usually and always (53.22% vs. 3.98%, P<0.05), eat 200-400 g fruits usually and always (78.61 % vs. 0, P<0.05), eat 300-500 g vegetables usually and always (9.74% vs. 0, P<0.05), and answering very confident to questions such as let the physicians know about your diseases (40.17% vs. 5.00%, P<0.05), know how to take medicines (44.52% vs. 5.00%, P<0.05), know how much exercise was right for yourself (26.43% vs.0, P<0.05) were significantly higher in rehabilitation group than in control group. There were no cardiac rehabilitation training related cardiovascular events. Conclusion: Tertiary hospital guided and community-driven family self-help cardiac rehabilitation model is an effective and safe management model of cardiovascular disease in chronic phase, and it is necessary to further expand the study population to verify the efficacy of this model.

Survival of Yersinia enterocolitica in the environment

When Yersinia enterocolitica was introduced into soils (or physiological saline), very little decrease in the population was observed throughout the test period. If the soil was allowed to air dry slowly, only 0.1% (2.8 x 10(3) colony forming units/g of soil) of the original population added still remained viable by day 10. On the other hand, the introduced organisms disappeared rapidly in river water but their longevities could be extended significantly if a eucaryote inhibitor was added to the river water or the river water was passed through a 0.8-micron membrane filter to remove eucaryotic predators. Furthermore, the rapid decrease of the Yersinia population coincided with an increase in numbers of protozoans. However, when Yersinia was added to filter-sterilized river water or when small numbers of the organism, below the threshold level believed necessary for active predation to occur, were added to the river water, no response in predators was observed; nevertheless, the population of Yersinia still showed a continued decline. When the organism was introduced into sephadex-treated river water or groundwater, its survival improved significantly compared with its survival in nontreated water samples. Low ambient temperature dramatically increased its ability to survive in the aquatic environment. It is concluded that, in addition to the temperature factor, the longevity of Y. enterocolitica in river water is chiefly regulated by predators and toxin producers.

Survival of pathogenic bacteria in environmental microcosms

The survival times of Salmonella enteritidis, Pseudomonas aeruginosa, Staphylococcus aureus, and Vibrio cholerae in natural soil and river water samples were monitored by using various differential media. S. aureus and V. cholerae failed to survive in samples of soil, groundwater, and river water with various degrees of eutrophication. The population of the introduced S. enteritidis remained fairly constant in all three samples of soils tested. In water samples, numbers of S. enteritidis and P. aeruginosa showed an initial rapid decline followed by a much lower rate of decrease. The results indicated that some allochthonous microorganisms, because of their insensitivity to various biotic and abiotic stresses, might persist for a long time in the environment and become a serious threat to public health.