Long COVID-19 DOI
Athar Hussain Memon

Risk, systems and decisions, Год журнала: 2024, Номер unknown, С. 229 - 237

Опубликована: Янв. 1, 2024

Long-COVID Prevalence and Its Association with Health Outcomes in the Post-Vaccine and Antiviral-Availability Era DOI Open Access

Ramida Jangnin,

Worraya Ritruangroj,

Sirada Kittisupkajorn

и другие.

Journal of Clinical Medicine, Год журнала: 2024, Номер 13(5), С. 1208 - 1208

Опубликована: Фев. 21, 2024

After recovering from COVID-19, patients may experience persistent symptoms, known as post-COVID-19 syndrome or long COVID, which include a range of continuing health problems. This research explores the prevalence, associated factors, and overall outcomes COVID during period extensive vaccination antiviral treatment availability in Thailand.

Язык: Английский

Процитировано

18

Psychological factors associated with Long COVID: a systematic review and meta-analysis DOI Creative Commons
Petra Engelmann, Max Reinke, Clara Stein

и другие.

EClinicalMedicine, Год журнала: 2024, Номер 74, С. 102756 - 102756

Опубликована: Июль 27, 2024

Язык: Английский

Процитировано

12

Association of Long COVID with mental health disorders: a retrospective cohort study using real-world data from the USA DOI Creative Commons
Yue Zhang, Vernon M. Chinchilli, Paddy Ssentongo

и другие.

BMJ Open, Год журнала: 2024, Номер 14(2), С. e079267 - e079267

Опубликована: Фев. 1, 2024

Objectives Mental health disorders (MHD) rank third for US adult hospitalisations. Given the substantial prevalence of ‘Long COVID’ in SARS-CoV-2 survivors, this study aims to assess its association with increased MHD risk using extensive real-world data. Design A retrospective cohort propensity score matching was conducted. We used International Classification Diseases, 10th Revision codes identify individuals Long COVID status and COVID-19 histories. Multivariable stratified Cox proportional hazards regression analysis conducted determine MHD. Setting Data were sourced from TriNetX database, spanning records 1 October 2021 16 April 2023. Participants Two distinct cohorts established: one comprising diagnosed another no history or COVID-19. At start study, none participants had a recorded Primary secondary outcome measures The main interest composite diagnosis Secondary outcomes individual mental conditions. Results included 43 060 control without 4306 participants, demonstrating well-balanced distribution across all covariates. After adjusting 4 demographic factors 10 comorbidities, associated (adjusted HR, aHR 2.60; 95% CI 2.37 2.85). In subgroup analysis, major depression disorder (aHR 3.36; 2.82 4.00) generalised anxiety 3.44; 2.99 3.96). Conclusions large an incident impact is significant considering vast number patients COVID. Enhanced screening among survivors should be priority.

Язык: Английский

Процитировано

11

An Analysis of Machine Learning for Detecting Depression, Anxiety, and Stress of Recovered COVID-19 Patients DOI Creative Commons
Tuan Anh Tran, Le Thanh Thao Trang,

Tran Dai An

и другие.

Journal of Human Earth and Future, Год журнала: 2024, Номер 5(1), С. 1 - 18

Опубликована: Фев. 24, 2024

Objectives: This study explores different machine learning models (KNN: k-nearest neighbor, MLP: Multilayer Perceptron, SVM: Support Vector Machine) to identify the optimal model for accurate and rapid mental health detection among recovered COVID-19 patients. Other techniques are also investigated, such as feature selection (Recursive Feature Elimination (RFE) Extra Trees (ET) methods) hyper-parameter tuning, achieve a system that could effectively quickly indicate health. Method/Analysis: To objectives, employs dataset collected from patients, encompassing information related depression, anxiety, stress. Machine utilized in analysis. Additionally, methods tuning explored enhance model’s predictive capabilities. The performance of each is assessed based on accuracy metrics. Findings: experimental results show SVM most suitable accurately predicting an individual’s patients (accuracy ≥ 0.984). Furthermore, ET method more effective than RFE anxiety stress datasets. Novelty/Improvement:The lies understanding modeling provides insights into choice early detection. Doi: 10.28991/HEF-2024-05-01-01 Full Text: PDF

Язык: Английский

Процитировано

7

Prevalence of depression, anxiety, stress, and suicide tendency among individual with long-COVID and determinants: A systematic review and meta-analysis DOI Creative Commons
Razieh Bidhendi Yarandi, Akbar Biglarian, Jannike Karlstad

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0312351 - e0312351

Опубликована: Янв. 28, 2025

Background While mental health alterations during active COVID-19 infection have been documented, the prevalence of long-term consequences remains unclear. This study aimed to determine symptoms—depression, anxiety, stress, and suicidal tendencies—and identify their trends associated risk factors in individuals with long-COVID. Methods We conducted a systematic literature search databases including PubMed, EMBASE, Scopus, CINAHL, Cochrane Library, Web Science, PsycINFO up August 2024, targeting observational studies published English. Study quality was assessed using structured standard tools. The primary outcome pooled depression, tendencies Secondary outcomes included these problems over time identification determinants. Results A total 94 eligible were analysis. estimates, regardless follow times duration, as follows: 25% (95%CI:22–28%; PI:1–59%); anxiety (adjusted via trim fill method), 23%(95%CI:21–25%;PI:2–35%); composite depression and/or (95%CI:23–27%;PI:2–51%); 26%(95%CI:13–39%;PI:1–69%); suicidality, 19%(95%CI:15–22%;PI:13–25%). results meta-regression analyses revealed statistically significant trend showing gradual decrease (RD = -0.004,P 0.022). Meta-regression indicated that being female younger age significantly higher symptoms. design setting did not contribute heterogeneity. Conclusion One-fourth individual long-COVID experience symptoms, which remain prevalent even two years post-infection despite slight decreasing trend. Factors such gender linked rates depression. These findings indicate need for ongoing screening early interventions mitigate psychological distress patients.

Язык: Английский

Процитировано

0

Predicting Long-COVID Sequelae: A Multi-Label Classification Approach DOI Creative Commons
Mattia Bellan, Annalisa Chiocchetti, Marco Dossena

и другие.

Intelligenza Artificiale, Год журнала: 2025, Номер unknown

Опубликована: Фев. 10, 2025

We present a study about the prediction of long-COVID sequelae through multi-label classification (MLC). Data on more than [Formula: see text] patients have been collected during at Ospedale Maggiore Novara (Italy), considering their baseline situation, as well condition acute COVID-19 onset. The goal is to predict presence specific after one-year follow-up. To amplify representativeness analysis, we carefully investigated possibility both augmenting dataset by situations where different levels in number complications could arise, and reducing features be considered for prediction. In first case, MLSmote under six policies data augmentation has considered, while case feature reduction generated new datasets via supervised an unsupervised dimension approach (Relief PCA respectively). A representative set MLC approaches tested all available datasets. Results evaluated terms Accuracy, Exact match, Hamming score macro-averaged AUC; they show that methods can actually useful sequelae, conditions represented addition, interpretability results addressed based SHAP method, showing clinical interpretations predictions captured together with observation techniques do not harm such kind explanations.

Язык: Английский

Процитировано

0

Effectiveness of an Arthrospira platensis (Spirulina) Softgel Supplementation on Sleep Quality, Mental Health Status, and Body Mass Index in Mild to Moderately Severe Depression Adults: A Double‐Blinded, Randomized, Placebo‐Controlled Trial DOI Creative Commons
Phenphop Phansuea, Kittipat Chotchindakun, Yuraporn Sahasakul

и другие.

Food Science & Nutrition, Год журнала: 2025, Номер 13(3)

Опубликована: Март 1, 2025

Arthrospira platensis (Spirulina) has been recognized for its diverse benefits to human health. Currently, stress and sleep disorders are prevalent increasing annually worldwide. This study aimed conduct a randomized controlled trial assess the effects of Spirulina on quality, mental health status, body mass index (BMI) measurements in adults with mild moderately severe depression. Sixty-six participants depression were randomly assigned receive either 2 g/day (two 1000 mg capsules) (n = 33) or placebo 8 weeks. Assessments conducted at baseline, week 4, end intervention included General Interview Questionnaires (GIQ), BMI, pulse blood pressure measurements, Depression Anxiety Stress Scales (DASS-21), Pittsburgh Sleep Quality Index (PSQI), Hygiene (SHI). Sixty-three completed trial. Adherence supplementation was high, two group reporting missed doses one day 3 days, respectively. Out 66 participants, three from control dropped out by study. Analysis using repeated measures ANOVA revealed significant difference PSQI scores experimental baseline weeks, mean score decreasing 7.03 ± 3.52 4.97 1.98. The group's decreased followed slight increase 8. Comparing groups 8, differed significantly, 1.98 6.73 2.69 (95% CI [-2.945, -0.582], p 0.004). Significant differences found quality latency between groups, 0.82 0.58 1.33 0.61 [-0.815, -0.215], 0.001) 0.79 0.70 0.71 [-0.900, -0.191], 0.003), Both showed statistically decreases DASS-21 scores. exhibited gradual reductions across all assessments (19.27 13.09, 14.24 10.13, 11.58 8.19) < 0.05. Conversely, saw an (15.43 9.18, 12.57 9.83, 12.63 10.50). BMI indices no changes (p > 0.05). latency, improved after daily softgel supplementation. Further clinical studies, potentially over extended periods, could provide additional support trends observed this

Язык: Английский

Процитировано

0

Cardiac symptoms in patients 3–6 months after contracting COVID-19– data from the polish STOP-COVID registry DOI Creative Commons
Mateusz Babicki, Joanna Kapusta, Damian Kołat

и другие.

BMC Infectious Diseases, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 9, 2025

Abstract Background Common complaints of long COVID patients are cardiac symptoms such as fatigue, weakness, and a feeling palpitations. The study aimed to investigate the clinical features with persistent cardiological occurring within 3 6 months after COVID-19. Differences in ambulatory blood pressure monitoring (ABPM), Holter ECG (electrocardiogram) Echocardiography between people without were evaluated. We also assessed whether anxiety depression may be implicated outcomes. Materials methods This was retrospective affiliated STOP-COVID registry who attended follow-up visit 3–6 undergoing present performed tests: ABPM, Echocardiography. 504 additionally had GAD-2 (Generalized Anxiety Disorder 2-item) PHQ-2 (Patient Health Questionnaire-2) tests performed. Results analysis included 1080 patients. At least 1 analyzed 586 (54.3%). most common symptom fatigue (38.9%). Comparing or palpitations showed that mean value ventricular extrasystole higher former group ( p = 0.011). symptoms, there differences values 0.022) < 0.001) scales, well percentage responses related risk depression. Conclusion Cardiological among health issues must face contracting People more excessive extrasystoles than these symptoms. Trial registration Our based on medical data COVID-19 treated out-patient basis Polish Long-Covid Cardiovascular (PoLoCOV-CVD) (ClinicalTrials.gov identifier– NCT05018052, date 29.05.2020). Consent conduct obtained from Bioethics Committee District Medical Chamber Lodz (no. KB-0115/2021).

Язык: Английский

Процитировано

0

Long COVID and Associated Factors Among Chinese Residents Aged 16 Years and Older in Canada: A Cross-Sectional Online Study DOI Creative Commons
Matin Shariati,

Kieran Luke Gill,

Michael Peddle

и другие.

Biomedicines, Год журнала: 2025, Номер 13(4), С. 953 - 953

Опубликована: Апрель 13, 2025

As the COVID-19 pandemic evolved, long COVID emerged as a significant threat to public health, characterized by one or more persistent symptoms impacting organ systems beyond 12 weeks of infection. Informative research has been derived from assessments among Chinese populace. However, none these studies considered experience residents in Canada. Objectives: We aimed fill this literature gap delineating experience, prevalence, and associated factors sample residing Canada during pandemic. Methods: The present study employed cross-sectional online survey questionnaire distributed Canadian using convenience sampling procedure 22 December 2022 15 February 2023. Respondents were probed for sociodemographic background health-, COVID-, vaccine-related characteristics. Logistic LASSO regression was used model building, multivariate logistic identify with developing COVID. Results: Among 491 eligible participants, 63 (12.83%) reported experiencing mean duration 5.31 (95% CI: 4.06–6.57) months major including difficulty concentrating (21.67%), pain/discomfort (15.00%), well anxiety/depression (8.33%). Our final identified associations between two infections (OR = 23.725, 95% 5.098–110.398, p < 0.0001), very severe/severe 3.177, 1.160–8.702, 0.0246), over-the-counter medicine 2.473, 1.035–5.909, 0.0416), traditional 8.259, 3.016–22.620, 0.0001). Further, we protective effect good/good health status 0.247, 0.112–0.544, 0.0005). Conclusions: Long effected notable proportion prolonged period findings underscore importance preexisting reinfection prevention when managing Moreover, our work indicates an association Chinese.

Язык: Английский

Процитировано

0

COVID-19 Patients' Experiences during the Pandemic: A Phenomenology Study DOI Creative Commons

Phiman Thirarattanasunthon,

Lanjakorn Kongnarong,

Nattacha Chanachon

и другие.

Journal of Human Earth and Future, Год журнала: 2024, Номер 5(1), С. 51 - 61

Опубликована: Март 1, 2024

Introduction: The COVID-19 pandemic caught the world community off guard, with irreversible effects, causing numerous hospitalizations and deaths across globe. Understanding patients' lived experience is crucial to care assessment. Therefore, this study aims investigate experiences of patients before, during, after hospitalization. Methods: present employed a phenomenological method, purposive sampling was used select participants. individuals discharged from treatment in upper southern region Thailand were recruited participate. Data collected through in-depth interviews conducted by telephone, LINE, face-to-face July 1 September 14, 2020. Results: included total eight participants selected seven provinces located Thailand. mean age 42 years, duration hospitalization 22 days, 62.5% them having underlying illnesses. categorized into 14 distinct sub-themes, corresponding various stages pre-hospitalization, throughout hospitalization, post-hospitalization. pre-infection lifestyles indicated lack understanding misunderstanding regarding COVID-19. This found that had more fear, depression, suicidal thoughts during Nevertheless, unequivocally affirmed nurse-patient interaction, terms providing assistance addressing mental health concerns, brought sense solace. However, they encountered rejection their being hospital. Conclusion:COVID-19 survivors must remain confident ability continue life believe made right choice accepting hospital save own lives prevent spread disease. Healthcare practitioners stakeholders within healthcare service system can utilize knowledge assist prevention, treatment, management Doi: 10.28991/HEF-2024-05-01-04 Full Text: PDF

Язык: Английский

Процитировано

3