Anxiety and Depression Prevalence and Risk Factors Among Patients With Cardiovascular Diseases in Post-COVID-19 China

Development and internal validation of a depressive symptoms prediction model among the patients with cardiovascular disease who have recovered from SARS-CoV-2 infection in Wuhan, China: a cross-sectional study

BACKGROUND

Middle-aged  and elderly patients with cardiovascular disease (CVD) who have recovered from SARS-CoV-2 infection may experience depressive symptoms due to the physical and psychological impact of the pandemic.

OBJECTIVE

To investigate the prevalence and predictors of depressive symptoms among the middle-aged and elderly with CVD who have recovered from SARS-CoV-2 infection in Wuhan, China, and to develop a prediction model for depressive symptoms.

METHODS

A cross-sectional study was conducted among 462 former SARS-CoV-2 middle-aged and elderly patients with CVD in Jianghan District, Wuhan, China from June 10 to July 25, 2021. Depressive symptoms were assessed by the Patient Health Questionnaire-9 (PHQ-9). Potential predictors of depressive symptoms were selected by the least absolute shrinkage and selection operator (LASSO) regression. A prediction model was developed by random forest (RF) and logistic regression models and compared by the area under the receiver operating characteristic curve (AUROC). The discrimination, calibration, and practical utility of the prediction model were evaluated by the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA). Bootstrap sampling was used for internal validation.

RESULTS

The prevalence of depressive symptoms among the participants was 35.93%. The prediction model included age, stethalgia after recovery, insomnia after recovery, post-traumatic stress disorder (PTSD), anxiety, fatigue, and perceived social support as predictors. The AUROC of the logistic regression model was 0.909 (95%CI: 0.879 ~ 0.939), indicating good discrimination. The calibration curve showed good calibration. The DCA showed that the prediction model had a net benefit for a wide range of risk thresholds. The internal validation confirmed the stability of the prediction model.

CONCLUSION

Depressive symptoms are common among middle-aged and elderly CVD patients who have recovered from SARS-CoV-2 infection in Wuhan, China. A prediction model with satisfactory performance was developed to estimate the risk of depressive symptoms among this population. Interventions targeting long COVID symptoms and social support should be considered to prevent depressive symptoms in CVD patients.

Heterogeneity of pain-fatigue-sleep disturbance symptom clusters in lung cancer patients after chemotherapy: a latent profile analysis

PURPOSE

Pain-fatigue-sleep disturbance symptom cluster (PFS) was common in patients with lung cancer and seriously affected the life quality of patients. However, the heterogeneity and subgroups of PFS were unclear in lung cancer patients after chemotherapy. This study was conducted to identify distinct subgroups of PFS in patients with lung cancer after chemotherapy, and explore the differences and risk factors of PFS subgroups.

METHODS

Lung cancer patients after chemotherapy were recruited. Data were collected using the Chinese version of the Brief Pain Inventory, the Cancer Fatigue Scale, and the Pittsburgh Sleep Quality Index. The latent profile analysis (LPA) was used to identify the subgroups of PFS. Univariate analysis was used to identify the differences among all subgroups. Logistic regression and restricted cubic splines were used to investigate predictors of the PFS subgroups.

RESULTS

Based on LPA, 512 participants were divided into four subgroups (Class 1: low pain-fatigue-sleep disturbance; Class 2: moderate pain-moderate fatigue-low sleep disturbance, Class 3: low pain-high fatigue-high sleep disturbance, and Class 4: high pain-fatigue-sleep disturbance). The univariate analysis showed that gender, body mass index (BMI), Eastern Cooperative Oncology Group (ECOG) performance status, leukocyte, neutrophils, platelet, C-reactive protein, stress, anxiety, depression, and social support were associated with PFS. The logistic regression analysis revealed that patients in Class 2 and Class 3 were more likely to experience great stress than those in Class 1. Additionally, compared to Class 1, females, lower BMI, stress, anxiety, and depression were independent predictors of Class 4.

CONCLUSION

This study successfully identified subgroups of PFS in patients with lung cancer after chemotherapy. Based on the results of this study, medical workers can identify patients with high risks for PFS and conduct more targeted interventions to improve symptom management.

Association of benzodiazepine and Z-hypnotic use with cardiovascular disease risk: insights from a prospective study of 10 million people in China

AIM

To assess the association between Benzodiazepines (BZDs) or Z-hypnotic use and cardiovascular diseases (CVD) incidence in residents in Beijing, China.

METHODS

We included 2,415,573 individuals with a prescription record for BZDs or Z-hypnotics in the Beijing Medical Claim Data for Employees database during 2010-2017, and 8,794,356 non-users with other prescriptions for the same period. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated using Cox proportional risk models for 712,850 exposed and 712,850 unexposed participants who were matched 1:1 by propensity score.

RESULTS

BZDs or Z-hypnotics users had a higher risk of CVD than non-users, with an HR of 1.11 (95% CI: 1.10, 1.13). Compared with non-users, those who used them for less than 3 months had the lowest risk of CVD, and those for more than 5 years had the highest risk, with HRs of 0.50 (0.48, 0.51) and 1.78 (1.72, 1.83), respectively. The risk of CVD was relatively low in those who used only one of the long-acting BZDs, short-acting BZDs, or Z-hypnotics compared to unexposed individuals. Individuals exposed to all three types of drugs had the highest risk, 2.33 (2.22, 2.44) times that of non-users. Users below the median dose had a lower risk of CVD compared to non-users, whereas users exceeding the median dose had an increased risk.

CONCLUSION

BZD or Z-hypnotic use in general was nominally associated with an elevated risk of CVD. However, for short-term, single-type, and low-to-moderate-dose users, not only did this elevated risk disappear, but drug use also demonstrated a protective effect.

Influencing Factors on Cardiovascular Health in China

The Annual Report on Cardiovascular Health and Diseases in China (2022) intricate landscape of cardiovascular health in China. This is the first section of the report, which dissects influential factors across diverse domains. The investigation identifies tobacco use as a paramount concern, portraying China as the global epicenter of tobacco consumption. Cigarette smoking, exacerbated by second-hand smoke exposure, emerges as a critical and preventable risk factor, contributing to a surge in attributable deaths over the past three decades. In the realm of dietary nutrition, the study discerns an overall improvement, yet discerns worrisome deviations, notably an escalating fat intake surpassing recommended guidelines. The shifting dietary structure reveals diminished consumption of cereals and vegetables juxtaposed with an uptick in animal foods, while excessive intake of cooking oil and salt persists, straying substantially from endorsed levels. The exploration of physical activity patterns unfolds a nuanced narrative. Varied trends are observed among students, with concerns arising from sedentary behaviors and inadequate adherence to recommended guidelines. The analysis spans a trajectory of declining physical activity in Chinese adults, coupled with an alarming surge in sedentary leisure time, ultimately linking these factors to heightened risks of cardiovascular diseases and increased adiposity. An examination of overweight and obesity trends uncovers a relentless upward trajectory, projecting substantial prevalence by 2030. Noteworthy prevalence rates underscore the imperative for targeted interventions to curtail this burgeoning health crisis, with the anticipated prevalence extending to nearly two-thirds of the adult population. Psychological factors, notably depression, constitute an integral facet of cardiovascular health. Prevalence rates among patients with coronary artery disease and acute myocardial infarction underscore the intricate interplay between mental health and cardiovascular outcomes. Additionally, persistent depressive symptoms are shown to significantly elevate the risk of cardiovascular diseases and mortality. This first section underscores the multifaceted challenges facing cardiovascular health in China, emphasizing the imperative for tailored interventions across tobacco control, dietary habits, physical activity, obesity management, and psychological well-being to mitigate the escalating burden of cardiovascular diseases in the population.

Screening for - and prevalence of - anxiety and depression in cardiac rehabilitation in the post-COVID era. An observational study

BACKGROUND

Approximately 20-30% of patients with a cardiac disease suffer from anxiety and/or depression, leading to poor health outcomes. To identify this subgroup, clinical guidelines recommend screening for anxiety and depression in cardiac rehabilitation (CR). It is unknown how screening practice is delivered post-COVID.

METHODS

This observational study used data from the National Audit of Cardiac Rehabilitation from April 2018-March 2022. Descriptive statistics were used to assess screening rates and prevalence, while a multivariate logistic regression model was performed to analyse determinants for screening for anxiety and depression among patients participating in cardiac rehabilitation.

RESULTS

The population consisted of 245,705 patients, where 128,643 (52.4%) were screened and 117,062 (47.6%) were not. Patients attending CR during first year of COVID-19 were less likely to be screened. Patients with female gender, living alone, non-white ethnicity, living in the most deprived areas, current smoking, and physical inactivity were less likely to be screened, while patients who were revascularized, having an objective physical fitness test, and attending a certified CR center were more likely to be screened. For patients attending CR during COVID-19, the prevalence of anxiety and depression decreased significantly. For anxiety the prevalence dropped from 34.4% to 15.8%, for depression the prevalence dropped from 33.5% to 16.5%.

CONCLUSION

CR service provision was negatively impacted during COVID-19, leading to much lower screening for anxiety and depression in the CR setting. Prevalence of anxiety and depression decreased during COVID-19 for this population, possibly because psychologically affected patients refrained from attending CR.

Low body mass index and disease duration as factors associated with depressive symptoms of Chinese inpatients with chronic heart failure

Depression is common in patients with chronic heart failure (CHF), and is associated with an increased risk of adverse health outcomes. There is a paucity of data on this subject from the developing countries. The aim was to examine the prevalence and related factors of depressive symptoms among Chinese inpatients with CHF. A cross-sectional study was conducted. PHQ-9 questionnaire was used to assess depressive symptoms. The overall prevalence of depressive symptoms was 7.5%. Low BMI (OR = 4.837, CI = 1.278-18.301, p = 0.02), disease duration 3-5 years (OR = 5.033, CI = 1.248-20.292, p = 0.023) and 5-10 years (OR = 5.848, CI = 1.440-23.744, p = 0.013) were risk factors for depressive symptoms, while being married (OR = 0.304, CI = 0.123-0.753, p = 0.010) was protective factor. We should pay more attention to patients without a spouse, with low BMI and whose disease duration is between 3 and 10 years in Chinese inpatients with CHF.

Prevalence of Anxiety, Depression, and Distress in SCAD and Non-SCAD AMI Patients: A Comparative Study

PURPOSE

Spontaneous coronary artery dissection (SCAD) is an increasingly recognized cause of acute myocardial infarction (AMI), particularly in younger women without classic cardiac risk factors. Spontaneous coronary artery dissection is considered to be particularly stressful; however, few studies have quantified SCAD survivor stress levels. This study compared anxiety, depression, and distress levels in SCAD and non-SCAD AMI patients.

METHOD

A sample of 162 AMI (35 [22%] SCAD) patients was recruited from hospitals and via social media, in Australia and the United States. All had had their AMI in the past 6 mo. Participants completed an online questionnaire comprising the Generalized Anxiety Disorder-2 (GAD2), Patient Health Questionnaire-2 (PHQ2), Kessler-6 (K6), and Cardiac Distress Inventory (CDI). T-tests, χ 2 tests, Mann-Whitney tests, and analysis of covariance were used to compare SCAD and non-SCAD samples. Logistic regression was used to identify the unique predictors of anxiety, depression, and distress, controlling for relevant confounders.

RESULTS

Patients with SCAD were more commonly female and significantly younger than non-SCAD patients. Patients with SCAD scored significantly higher on the GAD2, PHQ2, K6, and CDI and a significantly larger proportion was classified as anxious, depressed, or distressed using these instruments. In logistic regression, together with mental health history, having had a SCAD-AMI predicted anxiety, depression, and distress, after controlling for female sex, younger age, and other confounding variables.

CONCLUSION

This study supports the view that anxiety, depression, and distress are more common after SCAD-AMI than after traditional AMI. These findings highlight the psychosocial impacts of SCAD and suggest that psychological support should be an important component of cardiac rehabilitation for these patients.

Investigation of the Sleep Quality Among Hospitalized Cardiovascular Patients Using Regression Models and Qualitative Comparative Analysis

This study aimed to explore the relationships between modifiable and non-modifiable factors that influence sleep quality in hospitalized patients with cardiovascular disease in China. This study design was cross-sectional and descriptive. This study involved a convenience sample of 242 patients hospitalized for cardiovascular issues. Hierarchical regression model and qualitative comparative analysis model were performed. Regression revealed that age and depression both had statistically significant effects on sleep quality. The combination of conditions with strongest predictive effect on sleep quality was male of younger age, high level of depression, high level of anxiety, and low level of social support. Other combinations with predictive power on sleep quality are as follows: (1) younger male patients (aged 47-63 years) with high level of anxiety, high level of social support, and low level of depression; (2) older male patients (aged 63-79 years) with high level of depression, high level of social support, and low levels of anxiety; and (3) older male patients with high level of anxiety and low level of social support. Nurses may promote primary and secondary prevention of cardiovascular health prior to hospitalization, through routine screening for depressive and anxious symptoms and assessment of the patient's social support network. It is unknown whether these findings are unique to hospitalized patients. Therefore, future work should assess the fit of the model to other more diverse groups of hospitalized patients.

Depression and anxiety in cervical degenerative disc disease: Who are susceptible?

Background

Pre-operative depression and anxiety are associated with poorer patient-reported outcomes following cervical spine surgery. Identification of and interventions for these disorders are key to preventing related negative effects. However, most spine surgeons do not routinely evaluate mental health disorders. Few studies have investigated which patients with cervical degenerative disc diseases (CDDD) are susceptible to depression and anxiety.

Objective

To determine the factors associated with depression and anxiety in patients with CDDD.

Methods

Three hundred twelve patients with CDDD were recruited in this cross-sectional case-control study. Patients underwent a structured interview to acquire demographic and clinical characteristic information, which included the Neck Disability Index (NDI), modified Japanese Orthopedic Association (mJOA), and Visual Analog Scale (VAS) for neck/arm pain. Depression and anxiety were evaluated using the Zung Self-Rating Depression and Anxiety Scales. Univariate and multivariate logistic regression analyses were used to identify factors associated with depression and anxiety.

Results

Of all patients, 102 (32.7%) had depression and 92 (29.5%) had anxiety. Two hundred six (66.0%) patients with neither depression nor anxiety were defined as the control group. Univariate analysis indicated that gender, educational level, occupation type, Charlson comorbidity index, symptom duration, symptomatology, surgery history, NDI, mJOA, VAS-neck, and VAS-arm scores were associated with depression and anxiety (except for symptom duration for anxiety). Multivariate logistic regression analysis indicated that females [odds ratio (OR) 1.81, 95% confidence interval (CI) 1.01-3.23], physical work (OR 2.06, 95% CI 1.16-3.65), poor mJOA score (ORmoderate 2.67, 95% CI 1.40-5.07; ORsevere 7.63, 95% CI 3.85-15.11), and high VAS-neck score (OR 1.24, 95% CI 1.11-1.39) were independent risk factors for depression. Physical work (OR 1.84, 95% CI 1.01-3.35), poor mJOA score (ORmoderate 2.66, 95% CI 1.33-5.33; ORsevere 9.26, 95% CI 4.52-18.99), and high VAS-neck score (OR 1.34, 95% CI 1.19-1.51) were independent risk factors for anxiety.

Conclusion

Approximately one-third of patients with CDDD had depression or anxiety. Patients who engaged in heavy work and had severe symptoms (poor mJOA and high VAS-neck scores) are susceptible to depression and anxiety. Additionally, female patients are susceptible to depression. Our findings may help identify CDDD patients with depression and anxiety in clinical practice.

Social and psychological risk factors for decreased adherence among patients with atrial fibrillation

Adherence has a direct impact on reducing the effectiveness of atrial fibrillation therapy and increasing the risk of thromboembolic events. Among the factors involved in the decrease of adherence, the social and psychological characteristics of patients remain insufficiently studied. At the same time, the available publications allow us to conclude that there are markers of the risk of reduced adherence in patients with atrial fibrillation, which include age, cognitive impairment, psychoemotional disorders (including depression and anxiety) and specific behavioral patterns.

Adverse Impacts of Temporomandibular Disorders Symptoms and Tooth Loss on Psychological States and Oral Health-Related Quality of Life During the COVID-19 Pandemic Lockdown

Background

Emotion and quality of life may have been impacted by the coronavirus disease 2019 (COVID-19) crisis, especially in the lockdown. The impact of temporomandibular disorders (TMD) symptoms and tooth loss on mental status and Oral Health-Related Quality of Life (OHRQoL) are not fully understood in a stressful situation.

Objectives

We aimed to investigate whether TMD and tooth loss were the impaired risks of psychological states and OHRQoL in COVID-19 lockdown, and attempt to explore other potential risk factors.

Methods

This cross-sectional study surveyed residents via an online self-reported questionnaire, when Yangzhou was in lockdown. Demographic data, clinical information, the level of anxiety, depression and OHRQoL were collected and analyzed.

Results

Painful TMD symptoms and tooth loss are the risks of more severe anxiety and depression. TMD symptoms and tooth loss worsened OHRQoL. Lower education degree (OR: 6.31, P = 0.019), TMD-related pain symptoms (OR: 10.62, P = 0.005), tooth loss (OR: 3.12, P = 0.035), sleep disorders (OR: 2.92, P = 0.049) and relatively close contacts (OR: 3.95, P = 0.020) were verified as risk factors for increased level of anxiety. With respect to depression, low socio-economic status (OR: 6.22, P = 0.021), TMD-related pain (OR: 7.35, P = 0.012), tooth loss (OR: 4.48, P = 0.009), sleep disorders (OR: 5.13, P = 0.007) and relatively close contacts (OR: 12.94, P = 0.001) were identified as independent factors for developing depression. Additionally, drinking (B: −2.584, P = 0.013) and never going to the dental clinic (B: −3.675, P = 0.024) were relevant to better OHRQoL, while TMD without pain (B: 2.797, P = 0.008), TMD-related pain (B: 12.079, P < 0.001), tooth loss (B: 2.546, P = 0.006), sleep disorders (B: 2.598, P = 0.003) were independent factors for impaired OHRQoL.

Conclusion

Painful TMD symptoms, tooth loss and sleep disorders were the impaired risks of psychological states. TMD symptoms and tooth loss damaged OHRQoL when the city was in lockdown. Therefore, individualized psychological counseling is supposed to maintain control of mental health and OHRQoL under the stressful event.