COVID-19 Infection Risk Following Elective Arthroplasty and Surgical Complications in COVID-19-vaccinated Patients: A Multicenter Comparative Cohort Study DOI
Peyman Mirghaderi, Maryam Salimi, Alireza Moharrami

et al.

Arthroplasty Today, Journal Year: 2022, Volume and Issue: 18, P. 76 - 83

Published: Sept. 27, 2022

Language: Английский

Late Complications of COVID-19; An Umbrella Review on Current Systematic Reviews. DOI
SeyedAhmad SeyedAlinaghi, AmirBehzad Bagheri, Armin Razi

et al.

PubMed, Journal Year: 2023, Volume and Issue: 11(1), P. e28 - e28

Published: Jan. 1, 2023

Several clinical manifestations have been discovered for COVID-19 since the emergence of SARS-CoV-2, which can be classified into early, medium, and long-term complications. However, late complications present after recovery from acute illness. The study aims to comprehensively review available evidence related COVID-19.A search was conducted, using keywords, through electronic databases, included Scopus, Web Science, PubMed, Embase up August 29, 2022. Study selection performed according a strict inclusion exclusion criteria. Preferred Reporting Items Systematic reviews Meta-Analyses (PRISMA) checklist followed, studies were appraised National Institute Health (NIH) quality assessment risk bias tool.In total, 50 included, nine distinct complication categories identified. A these revealed that neurologic psychiatric (n=41), respiratory (n=27), musculoskeletal rheumatologic (n=22), cardiovascular (n=9), hepatic gastrointestinal (n=6) most prevalent long COVID-19.Almost all human body systems are affected by with different severity prevalence. Fatigue some other neuropsychiatric symptoms common among patients. Respiratory including dyspnea (during exercise), cough, chest tightness next COVID-19. Since persistent late, being aware signs is essential healthcare providers

Language: Английский

Citations

6

COVID-19 infection rate after urgent versus elective total hip replacement among unvaccinated individuals: A multicenter prospective cohort amid the COVID-19 pandemic DOI Open Access
Peyman Mirghaderi, Erfan Sheikhbahaei, Maryam Salimi

et al.

Annals of Medicine and Surgery, Journal Year: 2022, Volume and Issue: 80

Published: Aug. 1, 2022

Due to the COVID-19 pandemic, hospitals have become unsafe for patients as potential sources of virus transmission. This study aims determine infection rate after primary total hip arthroplasty (THA) among unvaccinated patients. THA undergoing elective or traumatic (urgent) were compared regarding contraction.Primary prospectively followed from three in *two great cities* country between April 2020 August 2021. If patient had suspected symptoms, a SARS-CoV-2 PCR test nasopharyngeal and oropharyngeal swabs and/or chest CT scan.Finally, information was received 436 patients, including 345 (79.1%) 91 (20.9%) THAs. Eight (1.8%) contracted within month discharge, two died due COVID-19. There no statistical difference disease type surgery (elective 1.4% versus 3.3%, P = 0.24). Women (Odds ratio (95% CI) 8.5 (2.1-35.2), 0.01) those who heart with Haldane-Anscombe correction ≈ 14.0, more likely contract postoperatively.In both urgent cases THA, researchers found that there is not high risk contracting during peri-surgery period. Urgent surgeries are comparable THA-with strict pre-elective protocols-in terms hospital stay if appropriate health protocols followed.

Language: Английский

Citations

9

Estimating Hidden Population Size of COVID-19 using Respondent-Driven Sampling Method - A Systematic Review DOI

SeyedAhmad SeyedAlinaghi,

Arian Afzalian, Mohsen Dashti

et al.

Infectious Disorders - Drug Targets, Journal Year: 2024, Volume and Issue: 24(6)

Published: Feb. 1, 2024

Currently, the ongoing COVID-19 pandemic is posing a challenge to health systems worldwide. Unfortunately, true number of infections underestimated due existence vast asymptomatic infected individual's proportion. Detecting actual COVID-19-affected patients critical in order treat and prevent it. Sampling such populations, so-called hidden or hard-to-reach not possible using conventional sampling methods. The objective this research estimate population size by respondent-driven (RDS)

Language: Английский

Citations

1

Birth Outcomes of Pregnant Women Infected with COVID-19 in Highland Areas of China from 2020 to 2022: A Retrospective Analysis DOI Creative Commons

Aiming Lv,

Bian Ba Zhuo,

De Qiong

et al.

Infection and Drug Resistance, Journal Year: 2024, Volume and Issue: Volume 17, P. 927 - 934

Published: March 1, 2024

Purpose: To explore the effect of coronavirus disease 2019 (COVID-19) infection on neonates in plateau regions.Methods: Cases newborns born to pregnant women infected with COVID-19 who received prenatal care or treatment at Women and Children's Hospital Tibet Autonomous Region Lhasa People's between January 2020 December 2022 (infected group) healthy (non-infected were included by age, underlying length hospital stay retrospectively collected.According inclusion exclusion criteria, 381 patients group 314 non-infected study. Results:The results multivariate analysis showed that admission neonatal intensive unit (OR = 3.342, 95% CI 1.564-6.764),shortness breath 2.853, 1.789-3.154),irregular breathing 2.465, 1.879-4.112)and jaundice 2.324, 1.989-2.445)were factors influencing low Apgar scores (all P < 0.05). Conclusion:Neonates had lower higher incidences complications, such as shortness breath, groaning, irregular jaundice, than not COVID-19.

Language: Английский

Citations

1

Determining the coverage and efficacy of the COVID-19 vaccination program at the community level in children aged 12 to 17 in Tehran. DOI
Sedigheh Rafiei Tabatabaei, Delara Babaie, Seyedeh Mahsan Hoseini‐Alfatemi

et al.

PubMed, Journal Year: 2024, Volume and Issue: 19, P. Doc04 - Doc04

Published: Jan. 1, 2024

The vaccination is one of the acceptable and recomended solution to prevent control COVID-19. aim this study was determine efficacy sinopharm in children aged 12-17 Tehran.

Language: Английский

Citations

1

The immunologic outcomes and adverse events of COVID-19 vaccine booster dose in immunosuppressed people: A systematic review DOI Creative Commons

SeyedAhmad SeyedAlinaghi,

Mohsen Dashti, Arian Afzalian

et al.

Preventive Medicine Reports, Journal Year: 2024, Volume and Issue: 44, P. 102778 - 102778

Published: May 31, 2024

This study examines the efficacy and safety of three COVID-19 booster vaccines including mRNA-based (BNT162b2 (BioNTech/Pfizer) and/or mRNA-1273 (Moderna)), Non-Replicating Viral-Vector (ChAdOx1 nCoV-19 vaccine (AstraZeneca) Ad26. COV2.S (Johnson & Johnson)), Protein Subunit (SpikoGen) in immunosuppressed patients. Relevant articles were systematically searched using medical subject heading (MeSH) keywords "COVID‐19" "booster dose" or vaccine" ''fourth online databases PubMed, Embase, Scopus, Web Science. To identify eligible studies, a two-phase screening process was implemented. Initially, researchers evaluated studies based on relevancy title abstract. A total 58 met inclusion criteria included this review. The findings suggest that doses offer greater protection against disease than primary dose. also compared various types, revealing viral vector nucleic acid outperformed inactivated vaccines. Results indicated individuals receiving experienced superior outcomes to those without boosters. Vaccination emerged as most effective preventive measure infection symptom severity. Elevated antibody levels post-booster dose vaccination population signaled robust immune responses, underscoring benefits supplementary doses. systematic review highlights preliminary evidence supporting immunologic boosters enhancing responses SARS-CoV-2. However, further research is needed determine optimal timing intervals between series while considering global equity issues variant-specific considerations.

Language: Английский

Citations

1

Explainable optimization of deep learning model for COVID-19 detection using chest images DOI Creative Commons
Slamet Riyadi,

Eka Nova Pramudya,

Cahya Damarjati

et al.

Informatics in Medicine Unlocked, Journal Year: 2024, Volume and Issue: 49, P. 101559 - 101559

Published: Jan. 1, 2024

The COVID-19 pandemic has now become endemic, yet it remains essential to identify and diagnose the virus. X-ray images on chest evaluations have utilized numerous deep-learning techniques optimization algorithms. Visual Geometry Group (VGG) is a widely recognized architecture for detection. This incorporates various algorithms, such as Adadelta, Adam, Adamax, Stochastic Gradient Descent (SGD), Adagrad, Root Mean Square Propagation (RMSprop), ascertain most favorable learning parameters. Currently, researchers evaluate performance of deep algorithm detect by computing statistical parameters, i.e., accuracy, precision, recall, specificity, F-1 score. However, way in which algorithms work predict outcome still needs comprehensive explanation. study aims explain how or normal using visual quantitative analysis Class Activation Mapping (Grad-CAM) evaluation. methodology involved data collection from public set, preprocessing, training-testing, result parameters Grad-CAM heatmap. evaluation yielded outcomes all techniques, with an average accuracy up 99 %. It was then followed visually observing activation heatmap, indicated crucial regions that influenced model's prediction outcomes. allows visualization quantification map each optimization. reveals distinct maps lung area both pictures. observation also confirmed root mean square error (RMSE) correlation between algorithm. researcher compares two heatmaps different methods RMSE heatmap pixel value. supports explanation performance. In conclusion, this research explained images.

Language: Английский

Citations

1

Clinical and Epidemiological Features of Pediatric COVID‐19: A Retrospective Study DOI Creative Commons
Mohammadreza Mirkarimi, Solmaz Heidari, Ahmad Shamsizadeh

et al.

Health Science Reports, Journal Year: 2024, Volume and Issue: 7(11)

Published: Nov. 1, 2024

There is a demand for additional data regarding the impact of coronavirus disease 2019 (COVID-19) on pediatric population. This study sought to determine clinical and epidemiological features COVID-19 in Iran.

Language: Английский

Citations

1

Precision health diagnostic and surveillance network uses S gene target failure (SGTF) combined with sequencing technologies to track emerging SARS‐CoV‐2 variants DOI Creative Commons
Rafael Guerrero‐Preston, Vanessa Rivera‐Amill,

Karem Caraballo

et al.

Immunity Inflammation and Disease, Journal Year: 2022, Volume and Issue: 10(6)

Published: May 11, 2022

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic revealed a worldwide lack of effective molecular surveillance networks at local, state, and national levels, which are essential to identify, monitor, limit viral community spread. SARS-CoV-2 variants concern (VOCs) such as Alpha Omicron, show increased transmissibility immune evasion, rapidly became dominant VOCs worldwide. Our objective was develop an evidenced-based genomic algorithm, combining reverse transcription polymerase chain reaction (RT-PCR) sequencing technologies quickly identify highly contagious VOCs, before cases accumulate exponentially. Deidentified data were obtained from 508,969 patients tested for disease 2019 (COVID-19) with the TaqPath COVID-19 RT-PCR Combo Kit (ThermoFisher) in four CLIA-certified clinical laboratories Puerto Rico (n = 86,639) three United States 422,330). frequency S Gene Target Failure (SGTF) > 47% last week March 2021 both, US laboratories. monthly SGTF steadily exponentially 4% November 2020 2021. weekly rate samples high (>8%) late December early January then also through April (48%). exponential increase SGFT prevalence concurrent sharp among all sequences uploaded Global Influenza Surveillance Response System (GISAID) 461). variant <1% 51.5% collected According proposed evidence-based approximately 50% should be managed self-quarantine contact tracing protocols, while WGS confirms their lineage results suggest this workflow is useful tracking SGTF.

Language: Английский

Citations

7

Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis DOI Creative Commons
Letizia Lo Presti, Mario Testa, Giulio Maggiore

et al.

BMC Health Services Research, Journal Year: 2022, Volume and Issue: 22(1)

Published: April 19, 2022

The recent COVID-19 pandemic and the shortage of general practitioners has determined a strong pressure on Italian health system. This critical issue highlighted fundamental support e-health services not only to lighten workload doctors, but also offer patients service tailored real needs. Therefore, digital engagement platforms represent valid aid, as they reconcile efficiency needs healthcare system with benefits for involved. In this perspective, little is known about main factors associated use telemonitoring their effectiveness. paper investigates success during in order understand mechanisms underlying patient participation platforms.An exploratory factor analysis was used explain dimensions telemonitoring. A sample 119 suspected or confirmed infection investigation. Moreover, an variance calculated identify differences between three types (infected, uninfected, infection) verify effectiveness platform.There are six platform. "Self-Health Engagement" emerges novel factor. compared other platforms, cognitive crucial trigger effective telemonitoring.By identifying triggers involved we can improve satisfaction appropriate health-crisis management. Furthermore, platform appears management both care providers it provides necessary tools Self-Health Management (SHM), well helping enrich literature care.A new construct study platforms: "health self-engagement", that is, based self-care demonstrates decisive role assumed by technology self-management.

Language: Английский

Citations

6