Fear of COVID and Physical Health Among People Living with HIV in China: Mediation Effects of HIV Stigma, Social Support, and Substance Use.

The COVID-19 pandemic has uniquely impacted people living with HIV (PLWH) worldwide. The negative impacts on PLWH's mental health from fear of COVID-19 are labeled as "a double stress." The association between fear of COVID-19 and HIV (internalized) stigma has been found among PLWH. Studies that explore the relationships between fear of COVID-19 and physical health outcomes are few, especially among PLWH. In this study, we explored the relationship between fear of COVID-19 and physical health among PLWH and the mediated effects of HIV stigma, social support, and substance use. A cross-sectional online survey of PLWH (n = 201) from November 2021 to May 2022 was carried out in Shanghai, China. The data on socio-demographics, fear of COVID-19, physical health, HIV-related perceived stigma, social support, and substance use were gathered and analyzed by structure equation modeling (SEM). In SEM analysis, fear of COVID-19 showed a significant and indirect effect on physical health (ß=-0.085) which was primarily mediated by HIV stigma. In SEM analysis, the final model had a good fit. Fear of COVID-19 showed a significant effect on HIV stigma (ß = 0.223) with the majority being direct effects (ß = 0.262) and a small indirect effect via substance use (ß=-0.039). Furthermore, HIV stigma showed a significant effect on physical health (ß=-0.382), the majority of which was direct (ß=-0.340), and a small indirect effect via social support (ß=-0.042). This is one of the first studies to explore how fear of contracting COVID-19 can affect PLWH's coping behaviors (e.g., using substances and obtaining social support) used to combat HIV stigma as well as to achieve better physical health in China.

Engineering highly efficient NIR-II FRET platform for Background-Free homogeneous detection of SARS-CoV-2 neutralizing antibodies in whole blood.

Förster or fluorescence resonance energy transfer (FRET) enables to probe biomolecular interactions, thus playing a vital role in bioassays. However, conventional FRET platforms suffer from limited sensitivity due to the low FRET efficiency and poor anti-interference of existing FRET pairs. Here we report a NIR-II (1000-1700 nm) FRET platform with extremely high FRET efficiency and exceptional anti-interference capability. This NIR-II FRET platform is established based on a pair of lanthanides downshifting nanoparticles (DSNPs) by employing Nd3+ doped DSNPs as an energy donor and Yb3+ doped DSNPs as an energy acceptor. The maximum FRET efficiency of this well-engineered NIR-II FRET platform reaches up to 92.2%, which is much higher than most commonly used ones. Owing to the all-NIR advantage (λex = 808 nm, λem = 1064 nm), this highly efficient NIR-II FRET platform exhibits extraordinary anti-interference in whole blood, and thus enabling background-free homogeneous detection of SARS-CoV-2 neutralizing antibodies in clinical whole blood sample with high sensitivity (limit of detection = 0.5 µg/mL) and specificity. This work opens up new opportunities for realizing highly sensitive detection of various biomarkers in biological samples with severe background interference.

Mediating effect of resilience and fear of COVID-19 on the relationship between social support and post-traumatic stress disorder among campus-quarantined nursing students: a cross-sectional study.

BACKGROUND: The emergency of Omicron variants, spreading in China and worldwide, has sparked a new wave of the coronavirus disease 2019 (COVID-19) pandemic. The high infectivity and persistence of the pandemic may trigger some degrees of post-traumatic stress disorder (PTSD) for nursing students experiencing indirect trauma exposure to the epidemic, which hinders the role transition from students to qualified nurses and exacerbates the health workforce shortage. Thus, it's well worth an exploration to understand PTSD and its underlying mechanism. Specifically, PTSD, social support, resilience, and fear of COVID-19 were selected after widely literature review. This study aimed to investigate the relationship between social support and PTSD among nursing students during COVID-19, to address the mediating role of resilience and fear of COVID-19 between social support and PTSD, and to provide practical guidance for nursing students' psychological intervention. METHODS: From April 26 to April 30, 2022, 966 nursing students from Wannan Medical College were selected by the multistage sampling method to fill the Primary Care PTSD Screen for the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), Brief Resilience Scale, Fear of COVID-19 Scale, and Oslo 3 Items Social Support Scale. Data were analyzed by descriptive statistics, spearman's correlation analysis, regression analysis, and path analysis. RESULTS: 15.42% of nursing students had PTSD. There were significant correlations between social support, resilience, fear of COVID-19, and PTSD (r =-0.291 ~ 0.353, P <0.001). Social support had a direct negative effect on PTSD (ß =-0.216; 95% confidence interval, CI: -0.309~-0.117), accounting for 72.48% of the total effect. Analysis of mediating effects revealed that social support influenced PTSD through three indirect pathways: the mediated effect of resilience was statistically significant (ß =-0.053; 95% CI: -0.077~-0.031), accounting for 17.79% of the total effect; the mediated effect of fear of COVID-19 was statistically significant (ß =-0.016; 95% CI: -0.031~-0.003), accounting for 5.37% of the total effect; the chain mediating effect of resilience and fear of COVID-19 was statistically significant (ß =-0.013; 95% CI: -0.022~-0.006), accounting for 4.36% of the total effect. CONCLUSION: The social support of nursing students not only directly affects PTSD, but also indirectly affects PTSD through the separate and chain mediating effect of resilience and fear of COVID-19. The compound strategies targeted at boosting perceived social support, fostering resilience, and controlling fear of COVID-19 are warranted for reducing PTSD.

A Study on Predicting Crisis Information Dissemination in Epidemic-level Public Health Events

Crisis information dissemination plays a key role in the development of emergency responses to epidemic-level public health events. Therefore, clarifying the causes of crisis information dissemination and making accurate predictions to effectively control such situations have attracted extensive attention. Based on media richness theory and persuasion theory, this study constructs an index system of crisis information dissemination impact factors from two aspects: the crisis information publisher and the published crisis information content. A multi-layer perceptron is used to analyze the weight of the index system, and the prediction is transformed into a pattern classification problem to test crisis information dissemination. In this study, COVID-19 is considered a representative event. An experiment is conducted to predict the crisis information dissemination of COVID-19 in two megacities. Data related to COVID-19 from these two megacities are acquired from the well-known Chinese social media platform Weibo. The experimental results show that not only the identity but also the social influence of the information publisher has a significant impact on crisis information dissemination in epidemic-level public health events. Furthermore, the proposed model achieves more than 95% test accuracy, precision rate, recall value and f1-score in the prediction task. The study provides decision-making support for government departments and a guide for correctly disseminating crisis information and public opinion during future epidemic-level public health events.

Lactate dehydrogenase and aspartate aminotransferase levels associated with the severity of COVID‑19: A systematic review and meta‑analysis

Lactate dehydrogenase (LDH) and aspartate aminotransferase (AST) are important indicators of cardiovascular, muscle and liver lesions, and can be used as prognostic indicators for infectious diseases, such as coronavirus disease 2019 (COVID-19). The present systematic review and meta-analysis assessed the prognostic value of LDH and AST levels for COVID-19 severity. Ovid-Medline, PubMed, Embase and The Cochrane Library were used to search for articles, according to the inclusion and exclusion criteria, until July 2022. The meta-analysis was performed using Revman5.3 and Stata15.1. Standardized mean difference (SMD) and 95% confidence intervals (CIs) of LDH and AST concentrations were analyzed using a random-effects model. Heterogeneity was investigated using meta-regression and subgroup methods. A total of 4,342 patients with COVID-19 in 23 articles were included in the present study. LDH (SMD=1.21;95% CI: 0.98, 1.44) and AST (SMD=0.68;95% CI: 0.54, 0.81) were significantly higher in patients with severe COVID-19 compared with in those with non-severe COVID-19. Serum LDH and AST levels in critically ill patients with COVID-19 were increased, suggesting a correlation between the levels of LDH and AST and the severity of COVID-19. These findings may help to develop a risk-stratified approach to the care of patients with this disease.

Effects of Gut Microbiome Modulation on Reducing Adverse Health Outcomes among Elderly and Diabetes Patients during the COVID-19 Pandemic: A Randomised, Double-Blind, Placebo-Controlled Trial (IMPACT Study).

Gut microbiota is believed to be a major determinant of health outcomes. We hypothesised that a novel oral microbiome formula (SIM01) can reduce the risk of adverse health outcomes in at-risk subjects during the coronavirus disease 2019 (COVID-19) pandemic. In this single-centre, double-blind, randomised, placebo-controlled trial, we recruited subjects aged ≥65 years or with type two diabetes mellitus. Eligible subjects were randomised in a 1:1 ratio to receive three months of SIM01 or placebo (vitamin C) within one week of the first COVID-19 vaccine dose. Both the researchers and participants were blinded to the groups allocated. The rate of adverse health outcomes was significantly lower in the SIM01 group than the placebo at one month (6 [2.9%] vs. 25 [12.6], p < 0.001) and three months (0 vs. 5 [3.1%], p = 0.025). At three months, more subjects who received SIM01 than the placebo reported better sleep quality (53 [41.4%] vs. 22 [19.3%], p < 0.001), improved skin condition (18 [14.1%] vs. 8 [7.0%], p = 0.043), and better mood (27 [21.2%] vs. 13 [11.4%], p = 0.043). Subjects who received SIM01 showed a significant increase in beneficial Bifidobacteria and butyrate-producing bacteria in faecal samples and strengthened the microbial ecology network. SIM01 reduced adverse health outcomes and restored gut dysbiosis in elderly and diabetes patients during the COVID-19 pandemic.

Mediating role of psychological flexibility in the effect of obsessive-compulsive symptoms on sleep quality among nurses during the COVID-19 pandemic.

Front-line nurses suffered unprecedented mental distress and severe insomnia during the COVID-19 pandemic. Present study aimed to explore the relationship between obsessive-compulsive symptoms and sleep quality and examine the potential mediating role of psychological flexibility between obsessive-compulsive symptoms and sleep quality. A total of 496 nurses from a Chinese large-scale Class 3 A Comprehensive Hospital were included in an online cross-sectional survey and completed the revised obsessive-compulsive inventory (OCI-R), Multidimensional Psychological Flexibility Inventory (MPFI) and Pittsburgh Sleep Quality Index (PSQI). As predicted, obsessive-compulsive symptoms were negatively associated with psychological flexibility and sleep quality, and psychological flexibility was positively associated with sleep quality. In addition, the relationship between obsessive-compulsive symptoms and sleep quality was partially mediated by psychological flexibility, which can provide some reference for the treatment of the obsessive-compulsive disorder (OCD) and insomnia, and lead to improvements in clinical and psychotherapy planning.

Lactate dehydrogenase and aspartate aminotransferase levels associated with the severity of COVID­19: A systematic review and meta­analysis.

Lactate dehydrogenase (LDH) and aspartate aminotransferase (AST) are important indicators of cardiovascular, muscle and liver lesions, and can be used as prognostic indicators for infectious diseases, such as coronavirus disease 2019 (COVID-19). The present systematic review and meta-analysis assessed the prognostic value of LDH and AST levels for COVID-19 severity. Ovid-Medline, PubMed, Embase and The Cochrane Library were used to search for articles, according to the inclusion and exclusion criteria, until July 2022. The meta-analysis was performed using Revman5.3 and Stata15.1. Standardized mean difference (SMD) and 95% confidence intervals (CIs) of LDH and AST concentrations were analyzed using a random-effects model. Heterogeneity was investigated using meta-regression and subgroup methods. A total of 4,342 patients with COVID-19 in 23 articles were included in the present study. LDH (SMD=1.21; 95% CI: 0.98, 1.44) and AST (SMD=0.68; 95% CI: 0.54, 0.81) were significantly higher in patients with severe COVID-19 compared with in those with non-severe COVID-19. Serum LDH and AST levels in critically ill patients with COVID-19 were increased, suggesting a correlation between the levels of LDH and AST and the severity of COVID-19. These findings may help to develop a risk-stratified approach to the care of patients with this disease.

Factors associated with weight gain during COVID-19 pandemic: A global study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has resulted in changes in lifestyle habits and experiences of mental health outcomes, some of which were possibly related to weight gain, leading to an increase in the prevalence of obesity, which is associated with the development of several severe diseases. Concerns regarding weight gain and its impact on health outcomes are prevalent worldwide, with obesity being one of the highest causes of mortality in current society. METHODS: A self-reported questionnaire collected data from participants aged 18 years of age and above from 26 countries and regions worldwide. Post-hoc multiple logistic regression analyses have been done to evaluate the association between demographic and socioeconomic factors, and the perspectives that were identified to be associated with weight gain. RESULTS: Participants belonging to a younger age group; with a higher level of education; living in an urban area; living with family members; employed full-time; and had obesity were found to be more vulnerable to weight gain. After adjusting for socio-demographic factors, participants who were quarantined; exercised less prior to the pandemic; consumed unhealthy foods; and reported negative thoughts such as helplessness and the perceived risk of COVID-19, were more likely to experience weight gain; while negative thoughts such as having no means of control over the COVID-19 pandemic and the consequences of the COVID-19 pandemic will have great personal effect were associated with females, students, and people living in the rural area. CONCLUSIONS: Weight gain risk during the pandemic was significantly associated with certain socio-demographic and COVID-19 related factors. To improve public health outcomes, future research should conduct a longitudinal evaluation on the effects of COVID-19 experiences upon health choices. Streamlined mental support should also be provided to the vulnerable groups which were prone to negative thoughts that were associated with weight gain.

Time series clustering of COVID-19 pandemic-related data

The COVID-19 pandemic continues to impact daily life worldwide. It would be helpful and valuable if we could obtain valid information from the COVID-19 pandemic sequential data itself for characterizing the pandemic. Here, we aim to demonstrate that it is feasible to analyze the patterns of the pandemic using a time-series clustering approach. In this work, we use dynamic time warping distance and hierarchical clustering to cluster time series of daily new cases and deaths from different countries into four patterns. It is found that geographic factors have a large but not decisive influence on the pattern of pandemic development. Moreover, the age structure of the population may also influence the formation of cluster patterns. Our proven valid method may provide a different but very useful perspective for other scholars and researchers.

Epidemiological characteristics and influencing factors of 245 COVID-19 cases in Shaanxi Province in 2020

Objective: To determine the epidemiological characteristics of COVID-19 in Shaanxi Province. Methods: Epidemiological analysis was conducted on the confirmed cases of COVID-19 (n=245) from January 23rd, 2020 through February 21st, 2020 based on the official data announced by Shaanxi Province. The effects of local population migration, prevention and control measures on the epidemic were explored. Results: As of February 21st, 2020, a total of 245 COVID-19 cases had been notified in Shaanxi Province, with a cumulative incidence rate of 0.63 per 100 000, of which imported cases accounted for 47.34%. The high incidence was observed between January 31st and February 5th. Xi'an had the largest number of COVID-19 cases, followed by Ankang, Hanzhong and Xianyang, totally accounting for 81.20% of the cases in the province. In terms of social factors, daily morbidity was positively correlated with Baidu migration scale index 14 days before. On January 25th, the provincial health emergency response was launched, and on January 31st, it was further upgraded for quarantine. On February 20th, the provincial prevention and control system was implemented by classified areas. There were no emerging local cases after February 21st and no confirmed cases for 28th consecutive days as of March 19th. Local cases and close contacts were cleared to zero on March 27th. Conclusion: The COVID-19 epidemic in Shaanxi Province is mainly concentrated in Guanzhong area and southern Shaanxi, with a widespread pattern in all cities. The prevention and control measures have effectively contained the epidemic, with a declining incidence. However, quarantine of suspected cases and close contacts remains crucial for routine prevention and control strategy.

Predicting compassion fatigue among psychological hotline counselors using machine learning techniques.

During the outbreak of coronavirus disease 2019, psychological hotline counselors frequently address help-seekers' traumatic experiences from time to time, which possibly causes counselors' compassion fatigue. The present study aimed to explore the predictors of compassion fatigue among a high-risk population of psychological hotline counselors. Seven hundred and twelve psychological hotline counselors were recruited from the Mental Health Service Platform at Central China Normal University, Ministry of Education, then were asked to complete the questionnaires measuring compassion fatigue, trait empathy, social support, trait mindfulness, counselor's self-efficacy, humor, life meaning, and post-traumatic growth. A chi-square test was utilized to filter for the top-20 predictive variables. Machine learning techniques, including logistic regression, decision tree, random forest, k-nearest neighbor, support vector machine, and naïve Bayes were employed to predict compassion fatigue. The results showed that the most important predictors of compassion fatigue were meaning in life, counselors' self-efficacy, mindfulness, and empathy. Except for the decision tree, the rest machine learning techniques obtained good performance. Naïve Bayes presented the highest area under the receiver operating characteristic curve of 0.803. Random forest achieved the least classification error of 23.64, followed by Naïve Bayes with a classification error of 23.85. These findings support the potential application of machine learning techniques in the prediction of compassion fatigue. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-021-01776-7.

The Mediating Effect of Perceived Social Support and Medical Coping Modes Between Psychological Resilience and Meaning in Life in COVID-19 Patients.

Aim: Assess the level of meaning in life of patients with COVID-19, explore the relationship among COVID-19 patients in perceived social support, medical coping modes, psychological resilience and life meaning, and clarify the mediating effect. Methods: Through the convenience sampling method, 144 COVID-19 patients were selected in the year 2021, and surveyed by using general information questionnaire, perceived social support scale (PSSS), medical coping modes questionnaire (MCMQ), meaning in life questionnaire (MLQ) and Connor-Davidson resilience scale (CD-RISC). After the collected data were preprocessed by SPSS, the t-tests, multiple comparison and Pearson coefficient were respectively used for comparative analysis, difference analysis and correlation analysis. Based on the above analysis, the structural equation model of perceived social support, medical coping modes, psychological resilience and meaning in life of COVID-19 patients was established by Amos. Results: COVID-19 patient's score of meaning in life, perceived social support, medical coping modes and psychological resilience are higher than the medium level. The gender and the place of treatment have significant differences in the meaning of life and perceived social support respectively. The patient's sense of life meaning it is closely and positively related to the perceived social support, medical coping modes and psychological resilience. Psychological resilience indirectly affects the sense of life meaning through medical coping modes and perceived social support. Conclusion: The life meaning can be improved by strengthening the perceived social support. The high level of perceived social support was conducive to the patient to think about life from a positive perspective. Family, government, enterprise and others should give patients certain care and warmth, make them feel more support from all walks of life. In addition, the life meaning can also be enhanced through the impact of psychological resilience on medical coping modes. So, care-givers can take some proper psychological interventions to patients.

SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT images.

The automatic segmentation of lung lesions from COVID-19 computed tomography (CT) images is helpful in establishing a quantitative model to diagnose and treat COVID-19. To this end, this study proposes a lightweight segmentation network called the SuperMini-Seg. We propose a new module called the transformer parallel convolution module (TPCB), which introduces both transformer and convolution operations in one module. SuperMini-seg adopts the structure of a double-branch parallel to downsample the image and designs a gated attention mechanism in the middle of the two parallel branches. At the same time, the attentive hierarchical spatial pyramid (AHSP) module and criss-cross attention module are adopted, and more than 100K parameters are present in the model. At the same time, the model is scalable, and the parameter quantity of SuperMini-seg-V2 reaches more than 70K. Compared with other advanced methods, the segmentation accuracy was almost reached the state-of-art method. The calculation efficiency was high, which is convenient for practical deployment.

Preparation of a new monoclonal antibody against nucleocapsid protein of swine acute diarrhea syndrome coronavirus and identification of its linear antigenic epitope.

Swine acute diarrhea syndrome coronavirus (SADS-CoV), which causes severe diarrhea in newborn piglets, was first identified in Southern China in 2017. Since the Nucleocapsid (N) protein in SADS-CoV is highly conserved and plays a key role in virus replication, it is often used as a target protein in scientific research. In this study, the N protein of SADS-CoV was successfully expressed, and a new monoclonal antibody (mAb), 5G12, against the protein was generated successfully. The mAb 5G12 can be used to detect SADS-CoV strains by indirect immunofluorescence assay (IFA) and western blotting. The mAb 5G12 epitope was located to amino acids 11 EQAESRGRK 19 by evaluating the antibody for reactivity with a series of truncated N protein segments. The biological information analysis showed that the antigenic epitope had a high antigenic index and conservation. This study will help further understand the protein structure and function of SADS-CoV and in the establishment of specific SADS-CoV detection methods.

Characteristics and outcomes of COVID-19 patients with and without asthma from the United States, South Korea, and Europe.

Objective: Large international comparisons describing the clinical characteristics of patients with COVID-19 are limited. The aim of the study was to perform a large-scale descriptive characterization of COVID-19 patients with asthma.Methods: We included nine databases contributing data from January to June 2020 from the US, South Korea (KR), Spain, UK and the Netherlands. We defined two cohorts of COVID-19 patients ('diagnosed' and 'hospitalized') based on COVID-19 disease codes. We followed patients from COVID-19 index date to 30 days or death. We performed descriptive analysis and reported the frequency of characteristics and outcomes in people with asthma defined by codes and prescriptions.Results: The diagnosed and hospitalized cohorts contained 666,933 and 159,552 COVID-19 patients respectively. Exacerbation in people with asthma was recorded in 1.6-8.6% of patients at presentation. Asthma prevalence ranged from 6.2% (95% CI 5.7-6.8) to 18.5% (95% CI 18.2-18.8) in the diagnosed cohort and 5.2% (95% CI 4.0-6.8) to 20.5% (95% CI 18.6-22.6) in the hospitalized cohort. Asthma patients with COVID-19 had high prevalence of comorbidity including hypertension, heart disease, diabetes and obesity. Mortality ranged from 2.1% (95% CI 1.8-2.4) to 16.9% (95% CI 13.8-20.5) and similar or lower compared to COVID-19 patients without asthma. Acute respiratory distress syndrome occurred in 15-30% of hospitalized COVID-19 asthma patients.Conclusion: The prevalence of asthma among COVID-19 patients varies internationally. Asthma patients with COVID-19 have high comorbidity. The prevalence of asthma exacerbation at presentation was low. Whilst mortality was similar among COVID-19 patients with and without asthma, this could be confounded by differences in clinical characteristics. Further research could help identify high-risk asthma patients.[Box: see text]Supplemental data for this article is available online at https://doi.org/10.1080/02770903.2021.2025392 .

Microporous Matrimid/PIM-1 Thin Film Composite Membranes with Narrow Pore Size Distribution used for Molecular Separation in Organic Solvents.

Polymers of intrinsic microporosity (PIMs) are a class of microporous organic materials that contain interconnected pores of less than 2 nm in diameter. Such materials are of great potential used in membranes for molecular separation, such as drug fractionation in pharmaceutical industry. However, the PIMs membranes are often susceptible to low separation selectivity toward different molecules due to their wide pore size distribution. Herein, a linear polyimide, Matrimid, is incorporated with PIM-1 (a typical member of PIMs) by solution blending, and the blends are dip-coated onto a polyimide P84 support membrane to prepare thin-film composite (TFC) membranes to control pore size distribution while keep high microporosity. The component miscibility, pore characteristics, and molecular separation performances of the Matrimid/PIM-1 TFC membranes are investigated in detail. The Matrimid and PIM-1 are partially miscible due to their similar Hansen solubility parameters. The Matrimid endows the selective layers (coatings) with narrower pore size distribution due to more compact chain packing. The prepared Matrimid/PIM-1 TFC membranes show high selectivity for separation of riboflavin (80% of retention) and isatin (only 5% of retention). The developed membranes exhibit great potential for separating molecules with different molecular weights.

Patient Preferences for Cardiac Rehabilitation - A Systematic Review.

Background: Although a large number of studies have demonstrated the effectiveness of cardiac rehabilitation(CR), patient preferences for CR remain unclear. Knowing patient preferences may contribute to increasing patient participation and adherence, thus improving patient prognosis. Methods: A systematic search was carried out using electronic databases and manual reference checks from inception until 15th June 2022. Quantitative studies, qualitative studies and mixed methods studies assessing patient preferences for CR were included. Two researchers independently conducted study selectionand data extraction. CR preferences were divided into three categories: CR settings, CR components, and CR contents. A narrative synthesis was applied to integrate the results of the included studies. The Mixed Methods Appraisal Tool (MMAT) was used to assess the quality of included studies. Results: Ultimately, 17 publications were included in this study. Regarding CR settings, most patients preferred the hospital to home, some considered both, and a few were willing to accept the local CR club as an alternative setting to the hospital. For CR components, regardless of age and gender, patients considered exercise training and nutrition counseling to be the most important and smoking cessation to be the least important. In exercise intervention of CR contents, progress discussion and encouragement were rated as most critical, and non-conflicting with other activities was rated as least critical. In psychological intervention of CR contents, most patients were willing to accept psychological intervention, and a few patients wanted to heal the trauma with the passage of time. Conclusion: This systematic review provides important insights into patient preferences for CR, clarifying patient preferences for CR settings, components, and contents, along with possible influencing factors. Patient preferences may change due to the COVID-19 epidemic, and there is still a need to focus on patient preferences for CR and conduct more relevant primary research to validate the findings of this paper in the future.