Effectiveness of eHealth Interventions on Moderate-to-Vigorous Intensity Physical Activity Among Patients in Cardiac Rehabilitation: Systematic Review and Meta-analysis.

BACKGROUND: Cardiac rehabilitation is a class IA recommendation for patients with cardiovascular diseases. Physical activity is the core component and core competency of a cardiac rehabilitation program. However, many patients with cardiovascular diseases are failing to meet cardiac rehabilitation guidelines that recommend moderate-to-vigorous intensity physical activity. OBJECTIVE: The major objective of this study was to review the evidence of the effectiveness of eHealth interventions in increasing moderate-to-vigorous intensity physical activity among patients in cardiac rehabilitation. The secondary objective was to examine the effectiveness of eHealth interventions in improving cardiovascular-related outcomes, that is, cardiorespiratory fitness, waist circumference, and systolic blood pressure. METHODS: A comprehensive search strategy was developed, and a systematic search of 4 electronic databases (PubMed, Web of Science, Embase, and Cochrane Library) was conducted for papers published from the start of the creation of the database until November 27, 2022. Experimental studies reporting on eHealth interventions designed to increase moderate-to-vigorous intensity physical activity among patients in cardiac rehabilitation were included. Multiple unblinded reviewers determined the study eligibility and extracted data. Risk of bias was evaluated using the Cochrane Collaboration Tool for randomized controlled trials and the Cochrane Effective Practice and Organization of Care group methods for nonrandomized controlled trials. A random-effect model was used to provide the summary measures of effect (ie, standardized mean difference and 95% CI). All statistical analyses were performed using Stata 17. RESULTS: We screened 3636 studies, but only 29 studies were included in the final review, of which 18 were included in the meta-analysis. The meta-analysis demonstrated that eHealth interventions improved moderate-to-vigorous intensity physical activity (standardized mean difference=0.18, 95% CI 0.07-0.28; P=.001) and vigorous-intensity physical activity (standardized mean difference=0.2, 95% CI 0.00-0.39; P=.048) but did not improve moderate-intensity physical activity (standardized mean difference=0.19, 95% CI -0.12 to 0.51; P=.23). No changes were observed in the cardiovascular-related outcomes. Post hoc subgroup analyses identified that wearable-based, web-based, and communication-based eHealth intervention delivery methods were effective. CONCLUSIONS: eHealth interventions are effective at increasing minutes per week of moderate-to-vigorous intensity physical activity among patients in cardiac rehabilitation. There was no difference in the effectiveness of the major eHealth intervention delivery methods, thereby providing evidence that in the future, health care professionals and researchers can personalize convenient and affordable interventions tailored to patient characteristics and needs to eliminate the inconvenience of visiting center-based cardiac rehabilitation programs during the COVID-19 pandemic and to provide better support for home-based maintenance of cardiac rehabilitation. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42021278029; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=278029.

Longitudinal HbA1c trajectory modelling reveals the association of HbA1c and risk of hospitalization for heart failure for patients with type 2 diabetes mellitus.

BACKGROUND: Inconsistent conclusions in past studies on the association between poor glycaemic control and the risk of hospitalization for heart failure (HHF) have been reported largely due to the analysis of non-trajectory-based HbA1c values. Trajectory analysis can incorporate the effects of HbA1c variability across time, which may better elucidate its association with macrovascular complications. Furthermore, studies analysing the relationship between HbA1c trajectories from diabetes diagnosis and the occurrence of HHF are scarce. METHODS: This is a prospective cohort study of the SingHealth Diabetes Registry (SDR). 17,389 patients diagnosed with type 2 diabetes mellitus (T2DM) from 2013 to 2016 with clinical records extending to the end of 2019 were included in the latent class growth analysis to extract longitudinal HbA1c trajectories. Association between HbA1c trajectories and risk of first known HHF is quantified with the Cox Proportional Hazards (PH) model. RESULTS: 5 distinct HbA1c trajectories were identified as 1. low stable (36.1%), 2. elevated stable (40.4%), 3. high decreasing (3.5%), 4. high with a sharp decline (10.8%), and 5. moderate decreasing (9.2%) over the study period of 7 years. Poorly controlled HbA1c trajectories (Classes 3, 4, and 5) are associated with a higher risk of HHF. Using the diabetes diagnosis time instead of a commonly used pre-defined study start time or time from recruitment has an impact on HbA1c clustering results. CONCLUSIONS: Findings suggest that tracking the evolution of HbA1c with time has its importance in assessing the HHF risk of T2DM patients, and T2DM diagnosis time as a baseline is strongly recommended in HbA1c trajectory modelling. To the authors' knowledge, this is the first study to identify an association between HbA1c trajectories and HHF occurrence from diabetes diagnosis time.

Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020.

Dengue, a mosquito-transmitted viral disease, has posed a public health challenge to Singaporean residents over the years. In 2020, Singapore experienced an unprecedented dengue outbreak. We collected a dataset of geographical dengue clusters reported by the National Environment Agency (NEA) from 15 February to 9 July in 2020, covering the nationwide lockdown associated with Covid-19 during the period from 7 April to 1 June. NEA regularly updates the dengue clusters during which an infected person may be tagged to one cluster based on the most probable infection location (residential apartment or workplace address), which is further matched to fine-grained spatial units with an average coverage of about 1.35 km2. Such dengue cluster dataset helps not only reveal the dengue transmission patterns, but also reflect the effects of lockdown on dengue spreading dynamics. The resulting data records are released in simple formats for easy access to facilitate studies on dengue epidemics.

Peptide Binder with High-Affinity for the SARS-CoV-2 Spike Receptor-Binding Domain.

Rapid antigen detection tests are urgently needed for the early diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The discovery of a binder with high affinity and selectivity for the biomarkers presented by SARS-CoV-2 is crucial to the development of the rapid antigen detection method. We utilized the surface biopanning to identify a peptide binder R1 from a phage-displayed peptide library consisting of 109 independent phage recombinants. The R1 peptide exhibited high-affinity for specific binding with the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein with a dissociation constant KD of (7.5 ± 1.9) × 10-10 M, which maintained high binding affinity with the RBD derived from Gamma, Lambda, Delta, and Omicron variants. The composition and sequence dependence of binding characteristics in R1-RBD interactions was revealed by the binding affinity fluctuations between RBD and the scrambled sequences or single-site mutants of R1. The R1-functionalized gold nanoparticles possessed concentration-dependent response to RBD and selectivity over bovine serum albumin and human serum albumin. The peptide binder R1 shows the potential to be used for constructing a rapid detection method for the early-stage diagnostics for SARS-CoV-2.

Synthetic Neutralizing Peptides Inhibit the Host Cell Binding of Spike Protein and Block Infection of SARS-CoV-2.

Antiviral treatments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been extensively pursued to conquer the pandemic. To inhibit the viral entry to the host cell, we designed and obtained three peptide sequences via quartz crystal microbalance measurement screening, which showed high affinity at nanomole to the S1 subunit of the spike protein and wild-type SARS-CoV-2 pseudovirus. Circular dichroism spectroscopy measurements revealed significant conformation changes of the S1 protein upon encounter with the three peptides. The peptides were able to effectively block the infection of a pseudovirus to 50% by inhibiting the host cell lines binding with the S1 protein, evidenced by the results from Western blotting and pseudovirus luciferase assay. Moreover, the combination of the three peptides could increase the inhibitory rate to 75%. In conclusion, the three chemically synthetic neutralizing peptides and their combinations hold promising potential as effective therapeutics in the prevention and treatment of COVID-19.

Chest computed tomography (CT) findings and semiquantitative scoring of 60 patients with coronavirus disease 2019 (COVID-19): A retrospective imaging analysis combining anatomy and pathology.

In this study, we ascertained the chest CT data of 60 patients admitted to 3 hospitals in Chongqing with confirmed COVID-19. We conducted anatomical and pathological analyses to elucidate the possible reasons for the distribution, morphology, and characteristics of COVID-19 in chest CT. We also shared a semiquantitative scoring of affected lung segments, which was recommended by our local medical association. This scoring system was applied to quantify the severity of the disease. The most frequent imaging findings of COVID-19 were subpleural ground glass opacities and consolidation; there was a significant difference in semiquantitative scores between the early, progressive, and severe stages of the disease. We conclude that the chest CT findings of COVID-19 showed certain characteristics because of the anatomical features of the human body and pathological changes caused by the virus. Therefore, chest CT is a valuable tool for facilitating the diagnosis of COVID-19 and semiquantitative scoring of affected lung segments may further elucidate diagnosis and assessment of disease severity. This will assist healthcare workers in diagnosing COVID-19 and assessing disease severity, facilitate the selection of appropriate treatment options, which is important for reducing the spread of the virus, saving lives, and controlling the pandemic.

[Explore the Optimal Resolvent of Medical Needs and Mental Health for Patients with Lung Cancer during Epidemic Novel Coronavirus Pneumonia].

BACKGROUND: With the rapid spread of novel coronavirus pneumonia (NCP) worldwide and the escalation of prevention and control efforts, the routine medical needs of patients have been restricted. The aims were to investigate medical needs of lung cancer patients and their mental health status during the epidemic periods, so as to provide rational recommendations for subsequent diagnosis and treatment. METHODS: The questionnaire was sent in the form of an electronic questionnaire at 7am on 4th, March, 2020, until 7am 6th, March, 2020, 368 questionnaires were recollected from 25 provinces (autonomous regions/municipalities) in 48 h. RESULTS: Of the 368 patients, 18 patients were excluded as they didn't receive anti-tumor treatment, and 350 patients were included in the final analysis. 229 cases were treated with oral targeted drugs, and 121 cases were treated with chemotherapy or immunotherapy. 41.3% of patients treated with intravenous chemotherapy or immunotherapy experienced treatment discontinuation, and the proportion of treatment discontinuation in chemotherapy or immunotherapy was higher than those treated with oral targeted drugs (21.0%). Whether oral targeted drugs or intravenous chemotherapy or immunotherapy, more than 60% of patients experienced delays in imaging examinations. Nearly one third of patients developed new symptoms or exacerbation of existing symptoms. 26.6%-28.9% of patients have changed their treatment plans through online consultation. During novel coronavirus pneumonia, 40%-75% of lung cancer patients have mental health problems, and more than 95% of patients support government's prevention and control measures. CONCLUSIONS: During the emergence of NCP, the medical needs of patients with lung cancer have not been enough, especially those who discontinued chemotherapy or immunotherapy. When medical institution resumes work, priority should be given to them. At the same time, mental health problems of patients should be valued and resolved timely.