Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19 DOI Creative Commons
Yixi Xu, Anusua Trivedi, Nicholas Becker

et al.

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: Oct. 8, 2022

COVID-19 mortality risk stratification tools could improve care, inform accurate and rapid triage decisions, guide family discussions regarding goals of care. A minority prognostic have been tested in external cohorts. Our objective was to compare machine learning algorithms develop a tool for predicting subsequent clinical outcomes COVID-19. We conducted retrospective cohort study that included hospitalized patients with from March 2020 2021. Seven Hundred Twelve consecutive University Washington 345 Tongji Hospital China were included. applied three different laboratory data collected within the initial 24 h hospital admission determine in-hospital mortality, transfer intensive care unit, shock requiring vasopressors, receipt renal replacement therapy. Mortality models derived, internally validated UW externally Hospital. The ICU transfer, RRT derived dataset but unable be due lack on these outcomes. Among dataset, 122 died (17%) during hospitalization mean days 15.7 +/- 21.5 (mean SD). Elastic net logistic regression resulted C-statistic 0.72 (95% CI, 0.64 0.81) internal validation 0.85 0.81 0.89) set. Age, platelet count, white blood cell count most important predictors mortality. In sub-group > 50 years age, prediction model continued perform 0.82 CI:0.76,0.87). Prediction also performed well functioned lower accuracy transfer. trained, using predict average two weeks prior death. developed high accuracy. These used resource allocation, support trial enrichment.

Language: Английский

Impact of sewer overflow on public health: A comprehensive scientometric analysis and systematic review DOI
Adebayo Olatunbosun Sojobi, Tarek Zayed

Environmental Research, Journal Year: 2021, Volume and Issue: 203, P. 111609 - 111609

Published: June 30, 2021

Language: Английский

Citations

99
The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype DOI Creative Commons
Musa Abdulkareem, Steffen E. Petersen

Frontiers in Artificial Intelligence, Journal Year: 2021, Volume and Issue: 4

Published: May 14, 2021

COVID-19 has created enormous suffering, affecting lives, and causing deaths. The ease with which this type of coronavirus can spread exposed weaknesses many healthcare systems around the world. Since its emergence, governments, research communities, commercial enterprises, other institutions stakeholders world have been fighting in various ways to curb disease. Science technology helped implementation policies governments that are directed toward mitigating impacts pandemic diagnosing providing care for Recent technological tools, artificial intelligence (AI) tools particular, also explored track coronavirus, identify patients high mortality risk diagnose In paper, areas where AI techniques being used detection, diagnosis epidemiological predictions, forecasting social control combating discussed, highlighting successful applications underscoring issues need be addressed achieve significant progress battling future pandemics. Several developed using medical imaging modalities such as chest CT X-ray images. These mainly differ their choices algorithms image segmentation, classification disease diagnosis. Other AI-based focused on predicting rate, long-term patient hospitalization outcomes COVID-19. huge potential battle against but practical deployments these so far limited due challenges data accessibility, external evaluation models, lack awareness experts regulatory landscape governing deployment healthcare, clinicians work a multidisciplinary context address public concerns over collection, privacy, protection. Having dedicated team expertise access sharing, federated learning whereby scientists hand training train models locally, taking full advantage biomedical stored biobanks alleviate some problems posed by challenges. Addressing will ultimately accelerate translation into useful solutions

Language: Английский

Citations

62
The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review DOI Creative Commons
Hao Wu, Xiaoyu Lu, Hanyu Wang

et al.

JMIR AI, Journal Year: 2023, Volume and Issue: 2, P. e38397 - e38397

Published: Jan. 30, 2023

Background Imbalanced health care resource distribution has been central to unequal outcomes and political tension around the world. Artificial intelligence (AI) emerged as a promising tool for facilitating distribution, especially during emergencies. However, no comprehensive review exists on use ethics of AI in distribution. Objective This study aims conduct scoping application explore ethical issues such situations. Methods A was conducted following PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses extension Scoping Reviews). search relevant literature MEDLINE (Ovid), PubMed, Web Science, Embase from inception February 2022. The included qualitative quantitative studies investigating allocation. Results involved 22 articles, including 9 model development 13 theoretical discussions, studies, or studies. Of validation, 5 were emerging economies, 3 developed countries, 1 global context. In terms content, 4 focused at system level allocation hospital level. 8 discussions COVID-19 pandemic rest resources, outbreaks, screening, human digitalization. Conclusions synthesized evidence focusing pandemic. results suggest that potential improve efficacy Efficient data sharing collecting structures are needed make reliable evidence-based decisions. Health inequality, distributive justice, transparency must be considered when deploying models real-world

Language: Английский

Citations

38
People with Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Exhibit Similarly Impaired Vascular Function DOI
Marie Mclaughlin, Nilihan E. M. Sanal‐Hayes, Lawrence D. Hayes

et al.

The American Journal of Medicine, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 1, 2023

Language: Английский

Citations

24
Nasal and Salivary Mucosal Humoral Immune Response Elicited by mRNA BNT162b2 COVID-19 Vaccine Compared to SARS-CoV-2 Natural Infection DOI Creative Commons

Mariapia Guerrieri,

Beatrice Francavilla, Denise Fiorelli

et al.

Vaccines, Journal Year: 2021, Volume and Issue: 9(12), P. 1499 - 1499

Published: Dec. 18, 2021

SARS-CoV-2 antibody assays are crucial in managing the COVID-19 pandemic. Approved mRNA vaccines well known to induce a serum responses against spike protein and its RBD. Mucosal immunity plays major role fight directly at site of virus entry; however, vaccine abilities elicit mucosal immune have not been reported. We detected anti-SARS-CoV-2 IgA-S1 IgG-RBD three study populations (healthy controls, vaccinated subjects, subjects recovered from infection) on serum, saliva, nasal secretions using two commercial immunoassays (ELISA for chemiluminescent assay IgG-RBD). Our results show that BNT162b2 Comirnaty (Pfizer/BioNTech, New York, NY, USA) determines production salivary SARS-CoV-2. This humoral response is stronger after injection second dose compared COVID-19. Since there lack validated saliva secretions, this shows our pre-analytical analytical procedures consistent with data. findings indicate elicits antigen-specific responses, could be used as candidates non-invasive monitoring vaccine-induced protection viral infection.

Language: Английский

Citations

49
Polymorphisms and mutations of ACE2 and TMPRSS2 genes are associated with COVID-19: a systematic review DOI Creative Commons
Jingwei Li, Yali Wang, Yong Liu

et al.

European journal of medical research, Journal Year: 2022, Volume and Issue: 27(1)

Published: Feb. 22, 2022

To determine the effect of polymorphisms and mutations in angiotensin-converting enzyme 2 (ACE2) Type transmembrane serine proteases (TMPRSS2) genes on susceptibility to corona virus disease 2019 (COVID-19) patient prognosis.From December current time, an outbreak epidemic COVID-19, characterized by severe acute respiratory syndrome coronavirus (SARS-CoV-2) has occurred around world. It is now clear that SARS-CoV-2 binds human ACE2 receptors, with expression these receptors correlated rate infection mortality. Polymorphisms individual factors, such as TMPRSS2 have been linked increase negative outcomes, although evidence affirm remains debatable.Here, we performed a systematic review, based guidelines Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) criteria, aim assessing whether affect COVID-19 condition. We extensively searched PubMed, MEDLINE, Embase, Cochrane Library, Web Science databases, relevant articles reports published English between 2021.A total 495 full-text were downloaded, which 185 excluded after preliminary examination they duplicates. Finally, 310 evaluated, reading their titles abstracts, 208 them eliminated our selection criteria. 33 met inclusion criteria included final assessment. Genetic data from 33,923 patients drawn general population deriving over 160 regions 50 countries, well approximately 560,000 samples global-public genetic analysis. Ultimately, identified 10 SNPs 21 gene, along 13 12 variants may be associated COVID-19.ACE2 play vital roles onset, development, prognosis infection, both strongly vulnerability, intensity, clinical result COVID-19. Overall, factors potential future development personalized drugs vaccines against COVID-19.CRD42021239400 PROSPERO 2021.

Language: Английский

Citations

29
Iron dysregulation in COVID‐19 and reciprocal evolution of SARS‐CoV‐2: Natura nihil frustra facit DOI
Yash Gupta, Dawid Maciorowski,

Brian Medernach

et al.

Journal of Cellular Biochemistry, Journal Year: 2022, Volume and Issue: 123(3), P. 601 - 619

Published: Jan. 8, 2022

Abstract After more than a year of the COVID‐19 pandemic, SARS‐CoV‐2 infection rates with newer variants continue to devastate much world. Global healthcare systems are overwhelmed high positive patient numbers. Silent hypoxia accompanied by rapid deterioration and some cases septic shock is responsible for mortality in many hospitalized patients. There an urgent need further understand relationships interplay human host components during pathogenesis immune evasion strategies. Currently, acquired immunity through vaccination or prior usually provides sufficient protection against emerging except Omicron variant requiring recent booster. New strains have shown higher viral loads greater transmissibility severe disease presentations. Notably, has peculiar prognosis patients iron dysregulation which still poorly understood. Studies abnormally low serum levels but overload lung fibrotic tissue. Data from our in‐silico structural analysis spike protein sequence along proteolysis processing suggests that fragment mimics Hepcidin resistant major proteases. This functional spike‐derived peptide dubbed “Covidin” thus may be intricately involved ferroportin binding internalization leading dysregulated metabolism. Here, we propose possible role this potentially allogenic mimetic hormone corresponding immunopathology illustrate molecular mimicry pathway associated status. Furthermore, 3D modeling docking followed MD simulation validation, unraveled likely Covidin Our meta‐analysis mechanism highly conserved among its range as well all new date including Omicron. Extensive current mutations revealed becoming alarmingly selective proteases defense.

Language: Английский

Citations

28
Quaternary ammonium salts for water treatment with balanced rate of sterilization and degradation DOI

Zhenyang Zhou,

XiRan Zhang,

Shaohua Zeng

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 352, P. 141386 - 141386

Published: Feb. 3, 2024

Language: Английский

Citations

7
Standing the test of COVID-19: charting the new frontiers of medicine DOI Creative Commons
Simon Cauchemez, Giulio Cossu, Nathalie M. Delzenne

et al.

Frontiers in Science, Journal Year: 2024, Volume and Issue: 2

Published: May 23, 2024

The COVID-19 pandemic accelerated research and innovation across numerous fields of medicine. It emphasized how disease concepts must reflect dynamic heterogeneous interrelationships between physical characteristics, genetics, co-morbidities, environmental exposures, socioeconomic determinants health throughout life. This article explores scientists other stakeholders collaborate in novel, interdisciplinary ways at these new frontiers medicine, focusing on communicable diseases, precision/personalized systems data science. highlighted the critical protective role vaccines against current emerging threats. Radical efficiency gains vaccine development (through mRNA technologies, public private investment, regulatory measures) be leveraged future together with continued area monoclonal antibodies, novel antimicrobials, multisectoral, international action diseases. Inter-individual heterogeneity pathophysiology prompted targeted therapeutics. Beyond COVID-19, medicine will become increasingly personalized via advanced omics-based technologies biology—for example targeting gut microbiome specific mechanisms underlying immunoinflammatory diseases genetic conditions. Modeling proved to strengthening risk assessment supporting decision-making. Advanced computational analytics artificial intelligence (AI) may help integrate epidemic modeling, clinical features, genomics, immune factors, data, anthropometric measures into a “systems medicine” approach. also digital giving telehealth therapeutics roles system resilience patient care. New methods employed during including decentralized trials, could benefit evidence generation decision-making more widely. In conclusion, shaped by multistakeholder collaborations that address complex molecular, clinical, social interrelationships, fostering precision while improving health. Open science, innovative partnerships, patient-centricity key success.

Language: Английский

Citations

6
Serum microRNAs targeting ACE2 and RAB14 genes distinguish asymptomatic from critical COVID-19 patients DOI Creative Commons
María Calderón‐Domínguez,

Eva Trejo-Gutierrez,

Almudena González-Rovira

et al.

Molecular Therapy — Nucleic Acids, Journal Year: 2022, Volume and Issue: 29, P. 76 - 87

Published: June 11, 2022

Despite the extraordinary advances achieved to beat COVID-19 disease, many questions remain unsolved, including mechanisms of action SARS-CoV-2 and which factors determine why individuals respond so differently viral infection. Herein, we performed an in silico analysis identify host microRNA targeting ACE2, TMPRSS2, and/or RAB14, all genes known participate entry replication. Next, levels six candidates previously linked respiratory-related pathologies were measured serum COVID-19-negative controls (n = 16), IgG-positive asymptomatic critical patients 17). Four peripheral microRNAs analyzed (hsa-miR-32-5p, hsa-miR-98-3p, hsa-miR-423-3p, hsa-miR-1246) upregulated compared with controls. Moreover, hsa-miR-32-5p hsa-miR-1246 also altered versus individuals. Furthermore, these target related infection, inflammatory response, coagulation-related processes. In conclusion, promotes alteration expression key proteins for replication, changes are associated disease severity. The identified could be taken as potential biomarkers progression well future therapeutic approaches against this disease.

Language: Английский

Citations

23