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Article: Confusion and Hallucination: A Case Report of an Unusual Presentation of COVID-19.

Aljumaiah, Rawabi / Alturaiki, Wael / Alosaimi, Bandar

2021 Volume 2021, Page(s) 3794019

Abstract: Besides respiratory symptoms, COVID-19 disease has a wide range of clinical, subclinical, and atypical presentations reported previously. Here, we report the case report of a middle-aged man, with no previous known medical illness, who presented with a 5- ...

Abstract	Besides respiratory symptoms, COVID-19 disease has a wide range of clinical, subclinical, and atypical presentations reported previously. Here, we report the case report of a middle-aged man, with no previous known medical illness, who presented with a 5-day-history of anxiety, fever, confusion, and hallucinations. Patient's SARS-CoV-2 polymerase chain reaction test was positive, and he underwent daily vital signs and respiratory, cardiovascular, and abdominal examinations. Chest radiography, electrocardiogram, microbial culture, biochemistry, and toxicology tests were also investigated. In this report, a case of COVID-19 is described with an unusual presentation of confusion and hallucinations in the absence of severe upper respiratory or constitutional symptoms. The earlier recognition of atypical manifestation, the safer the practice, with optimal timely diagnosis, and less anticipated outbreaks in healthcare facilities. Further studies are needed to establish the underlying pathophysiological mechanisms involved.
Language	English
Publishing date	2021-12-30
Publishing country	United States
Document type	Case Reports
ZDB-ID	2629914-8
ISSN	2090-6838 ; 2090-682X
ISSN (online)	2090-6838
ISSN	2090-682X
DOI	10.1155/2021/3794019
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Article: Prediction and Classification of COVID-19 Admissions to Intensive Care Units (ICU) Using Weighted Radial Kernel SVM Coupled with Recursive Feature Elimination (RFE).

Alshanbari, Huda M / Mehmood, Tahir / Sami, Waqas / Alturaiki, Wael / Hamza, Mauawia A / Alosaimi, Bandar

Life (Basel, Switzerland)

2022 Volume 12, Issue 7

Abstract: Healthcare systems have been under immense pressure since the beginning of the COVID-19 pandemic; hence, studies on using machine learning (ML) methods for classifying ICU admissions and resource allocation are urgently needed. We investigated whether ML ...

Abstract	Healthcare systems have been under immense pressure since the beginning of the COVID-19 pandemic; hence, studies on using machine learning (ML) methods for classifying ICU admissions and resource allocation are urgently needed. We investigated whether ML can propose a useful classification model for predicting the ICU admissions of COVID-19 patients. In this retrospective study, the clinical characteristics and laboratory findings of 100 patients with laboratory-confirmed COVID-19 tests were retrieved between May 2020 and January 2021. Based on patients' demographic and clinical data, we analyzed the capability of the proposed weighted radial kernel support vector machine (SVM), coupled with
Language	English
Publishing date	2022-07-21
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662250-6
ISSN	2075-1729
ISSN	2075-1729
DOI	10.3390/life12071100
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Article ; Online: Mutations at the conserved N-Terminal of the human Rhinovirus capsid gene VP4, and their impact on the immune response.

Naeem, Asif / Alkadi, Haitham S / Manzoor, Muhammad U / Yousaf, Imran / Awadalla, Maaweya / Alturaiki, Wael / AlYami, Ahmad S / Zafar, Adnan / Alosaimi, Bandar

Journal of immunoassay & immunochemistry

2024 , Page(s) 1–21

Abstract: Rhinoviruses (RV) are the major cause of chronic obstructive pulmonary disease and are associated with exacerbation development as well as community-acquired pneumonia in children, leading to substantial morbidity, mortality, and hospital admission. Here ...

Abstract	Rhinoviruses (RV) are the major cause of chronic obstructive pulmonary disease and are associated with exacerbation development as well as community-acquired pneumonia in children, leading to substantial morbidity, mortality, and hospital admission. Here we have examined how changes at the amino terminal of the conserved VP4 epitope of different RV serotypes may affect pulmonary cytokine and chemokine responses and disease severity. Samples positive for rhinovirus were used for genetic characterization, followed by profiling gene expression of pulmonary Th1 and Th2 cytokines/chemokines by RT-PCR arrays. Genetic sequencing and homology 3D modeling revealed changes at the amino terminal of the conserved viral protein 4 (VP4) epitope in the RV-A101 serotype, especially serine at several positions that are important for interactive binding with the host immune cells. We found dysregulation of pulmonary gene expression of Th1- and Th2-related cytokines and chemokines in RV-A 101 and RV-C 8 pneumonia patients. These findings might contribute to a better understanding of RV immunity and the potential mechanisms underlying the pathogenesis of severe RV infections, but further functional studies are needed to confirm the causal relationship.
Language	English
Publishing date	2024-03-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2050610-7
ISSN	1532-4230 ; 1532-1819
ISSN (online)	1532-4230
ISSN	1532-1819
DOI	10.1080/15321819.2024.2323460
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Article ; Online: Disease prognosis and therapeutic strategies in patients with advanced non-small cell lung cancer (NSCLC): a 6-year epidemiological study between 2015-2021.

Alamri, Saad / Badah, Maryam Zaki / Zorgi, Soha / Alenazi, Reva / Alshanbari, Huda M / Ali, Mohamed A M / Murished, Ghida / Awadalla, Maaweya E / Alshihre, Ammar / Alghareeb, Waleed A / Alosaimi, Bandar

Translational cancer research

2024 Volume 13, Issue 2, Page(s) 762–770

Abstract: Background: Lung cancer is the top cause of mortality in males and the second largest cause of cancer-related fatalities in women worldwide. Non-small cell lung cancer (NSCLC) cases are discovered at an advanced stage, raising major challenges in ... ...

Abstract	Background: Lung cancer is the top cause of mortality in males and the second largest cause of cancer-related fatalities in women worldwide. Non-small cell lung cancer (NSCLC) cases are discovered at an advanced stage, raising major challenges in disease management and survival outcomes. This study aimed to investigate the clinical findings and management of stage IIIB and IV NSCLC patients for better decision-making, disease management, and understanding of this fatal disease. Methods: In this cohort study of 340 patients, a total of 140 (41.2%) were diagnosed with advanced-stage NSCLC at a mean age of 64 years. The electronic data of patients from 2015 to 2021 who met the inclusion criteria were retrieved from two tertiary hospitals in Riyadh, Saudi Arabia, and an Excel sheet was used to record the variables. Patients' data including all categorical variables such as gender, stage, metastasis, ALK, EGFR, and ROS, etc., and continuous variables such as age and body mass index (BMI) were retrieved and analyzed. Results: The multivariate Cox-regression model indicated that smoking was the significant risk factor of death for two-thirds of male smokers (37.9%), with a median survival time of 123 days. Disease progression was higher with pleural and brain metastasis, and localized metastasis was the highest in 75% of patients. The intent of treatment was mainly palliative, however, a statistically significant association was found with the simultaneous use of chemotherapy and immunotherapy. Patients' response to first-line treatment revealed a significant improvement if chemotherapy treatment was maintained at the same dose without interruption of dosage. Conclusions: The overall cure and survival rates for NSCLC remain low, particularly in metastatic disease. Therefore, continued research into new drugs and combination therapies is required for better decision-making to expand the clinical benefit to a broader patient population and to improve outcomes in NSCLC.
Language	English
Publishing date	2024-02-23
Publishing country	China
Document type	Journal Article
ZDB-ID	2901601-0
ISSN	2219-6803 ; 2218-676X
ISSN (online)	2219-6803
ISSN	2218-676X
DOI	10.21037/tcr-23-1816
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Article ; Online: Evolutionary analysis of LMP-1 genetic diversity in EBV-associated nasopharyngeal carcinoma: Bioinformatic insights into oncogenic potential.

Alanazi, Abdullah E / Alhumaidy, Aroob Abdullah / Almutairi, Hatim / Awadalla, Maaweya E / Alkathiri, Abdulrahman / Alarjani, Modhi / Aldawsari, Mesfer Abdullah / Maniah, Khalid / Alahmadi, Reham M / Alanazi, Bader S / Eifan, Saleh / Alosaimi, Bandar

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

2024 Volume 120, Page(s) 105586

Abstract: EBV latent membrane protein 1 (LMP-1) is an important oncogene involved in the induction and maintenance of EBV infection and the activation of several cell survival and proliferative pathways. The genetic diversity of LMP-1 has an important role in ... ...

Abstract	EBV latent membrane protein 1 (LMP-1) is an important oncogene involved in the induction and maintenance of EBV infection and the activation of several cell survival and proliferative pathways. The genetic diversity of LMP-1 has an important role in immunogenicity and tumorigenicity allowing escape from host cell immunity and more metastatic potential of LMP-1 variants. This study explored the evolutionary of LMP-1 in EBV-infected patients at an advanced stage of nasopharyngeal carcinoma (NPC). Detection of genetic variability in LMP-1 genes was carried out using Sanger sequencing. Bioinformatic analysis was conducted for translation and nucleotide alignment. Phylogenetic analysis was used to construct a Bayesian tree for a deeper understanding of the genetic relationships, evolutionary connections, and variations between sequences. Genetic characterization of LMP-1 in NPC patients revealed the detection of polymorphism in LMP-1 Sequences. Motifs were identified within three critical LMP-1 domains, such as PQQAT within CTAR1 and YYD within CTAR2. The presence of the JACK3 region at specific sites within CTAR3, as well as repeat regions at positions (122-132) and (133-143) within CTAR3, was also annotated. Additionally, several mutations were detected including 30 and 69 bp deletions, 33 bp repeats, and 15 bp insertion. Although LMP-1 strains appear to be genetically diverse, they are closely related to 3 reference strains: prototype B95.8, Med- 30 bp deletion, and Med + 30 bp deletion. In our study, one of the strains harboring the 30 bp deletion had both bone and bone marrow metastasis which could be attributed to the fact that LMP-1 is involved in tumor metastasis, evasion and migration of NPC cells. This study provided valuable insights into genetic variability in LMP-1 sequences of EBV in NPC patients. Further functional studies would provide a more comprehensive understanding of the molecular characteristics, epidemiology, and clinical implications of LMP-1 polymorphisms in EBV-related malignancies.
MeSH term(s)	Viral Matrix Proteins/genetics ; Humans ; Nasopharyngeal Carcinoma/virology ; Nasopharyngeal Carcinoma/genetics ; Epstein-Barr Virus Infections/virology ; Herpesvirus 4, Human/genetics ; Phylogeny ; Nasopharyngeal Neoplasms/virology ; Nasopharyngeal Neoplasms/genetics ; Nasopharyngeal Neoplasms/pathology ; Computational Biology/methods ; Genetic Variation ; Evolution, Molecular ; Bayes Theorem ; Male
Chemical Substances	Viral Matrix Proteins ; EBV-associated membrane antigen, Epstein-Barr virus
Language	English
Publishing date	2024-03-19
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2037068-4
ISSN	1567-7257 ; 1567-1348
ISSN (online)	1567-7257
ISSN	1567-1348
DOI	10.1016/j.meegid.2024.105586
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Article ; Online: Prediction and Classification of COVID-19 Admissions to Intensive Care Units (ICU) Using Weighted Radial Kernel SVM Coupled with Recursive Feature Elimination (RFE)

Huda M. Alshanbari / Tahir Mehmood / Waqas Sami / Wael Alturaiki / Mauawia A. Hamza / Bandar Alosaimi

Life, Vol 12, Iss 1100, p

2022 Volume 1100

Abstract	Healthcare systems have been under immense pressure since the beginning of the COVID-19 pandemic; hence, studies on using machine learning (ML) methods for classifying ICU admissions and resource allocation are urgently needed. We investigated whether ML can propose a useful classification model for predicting the ICU admissions of COVID-19 patients. In this retrospective study, the clinical characteristics and laboratory findings of 100 patients with laboratory-confirmed COVID-19 tests were retrieved between May 2020 and January 2021. Based on patients’ demographic and clinical data, we analyzed the capability of the proposed weighted radial kernel support vector machine (SVM), coupled with (RFE) . The proposed method is compared with other reference methods such as linear discriminant analysis (LDA) and kernel-based SVM variants including the linear, polynomial, and radial kernels coupled with REF for predicting ICU admissions of COVID-19 patients. An initial performance assessment indicated that the SVM with weighted radial kernels coupled with REF outperformed the other classification methods in discriminating between ICU and non-ICU admissions in COVID-19 patients. Furthermore, applying the Recursive Feature Elimination (RFE) with weighted radial kernel SVM identified a significant set of variables that can predict and statistically distinguish ICU from non-ICU COVID-19 patients. The patients’ weight, PCR Ct Value, CCL19, INF-β, BLC, INR, PT, PTT, CKMB, HB, platelets, RBC, urea, creatinine and albumin results were found to be the significant predicting features. We believe that weighted radial kernel SVM can be used as an assisting ML approach to guide hospital decision makers in resource allocation and mobilization between intensive care and isolation units. We model the data retrospectively on a selected subset of patient-derived variables based on previous knowledge of ICU admission and this needs to be trained in order to forecast prospectively.
Keywords	healthcare systems ; machine learning ; support vector machine ; COVID-19 burden ; classification ; prediction ; Science ; Q
Subject code	310
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Corrigendum: Factors influencing participation in COVID-19 clinical trials: a multinational study.

Abdelhafiz, Ahmed Samir / Abd ElHafeez, Samar / Khalil, Mohammad Adnan / Shahrouri, Manal / Alosaimi, Bandar / Salem, Raneem O / Alorabi, Mohamed / Abdelgawad, Fatma / Ahram, Mamoun

Frontiers in medicine

2023 Volume 10, Page(s) 1230259

Abstract: This corrects the article DOI: 10.3389/fmed.2021.608959.]. ...

Abstract	[This corrects the article DOI: 10.3389/fmed.2021.608959.].
Language	English
Publishing date	2023-06-22
Publishing country	Switzerland
Document type	Published Erratum
ZDB-ID	2775999-4
ISSN	2296-858X
ISSN	2296-858X
DOI	10.3389/fmed.2023.1230259
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Article: Awareness of Coronary Artery Disease Risk Factors Among the Population of Taif City, Saudi Arabia.

Abukhudair, Walid / Alosaimi, Mohammed A / Alghamdi, Bandar A / Alharthi, Riyadh A / Mahjari, Ahood A / Albalawi, Ibrahim A / Alqahtani, Reemah F

Cureus

2022 Volume 14, Issue 10, Page(s) e30084

Abstract: Background: Coronary artery disease (CAD) is responsible for significant mortality and morbidity among patients. Many factors are associated with the increasing prevalence of CAD in a population, including diet and lifestyle, physical inactivity, high ... ...

Abstract	Background: Coronary artery disease (CAD) is responsible for significant mortality and morbidity among patients. Many factors are associated with the increasing prevalence of CAD in a population, including diet and lifestyle, physical inactivity, high cholesterol levels, and others. Objectives: The purpose of this study is to assess the awareness level and knowledge about CAD risk factors and its prevalence among the general population in Taif city, Saudi Arabia. Methods: This study was a community-based cross-sectional descriptive study carried out from August 2022 to September 2022 by an online questionnaire previously validated in published studies and then distributed via different social media platforms to assess participants' knowledge of risk factors for CAD. The survey included questions about socio-demographic data and risk factors of cardiovascular diseases and their prevalence. Results: A total of 2439 participants met the inclusion criteria and finally enrolled in the current study. About 1671 (68.5%) were found to have good awareness levels, 718 (29.4%) of the participants were considered to be having fair awareness levels, and only 50 (2.1%) of the participants were with poor awareness levels. Conclusion: Most participants have a good level of knowledge and awareness about CAD. Few knowledge gaps were regarding certain factors, including age, gender, and family history of CAD. High educational level and age were found to be linked with a higher level of knowledge regarding CAD.
Language	English
Publishing date	2022-10-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.30084
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Article: Recall of Prior Knowledge in Medical Microbiology Among Medical Interns: A Multicenter Cross-Sectional Assessment in Saudi Arabia.

Alosaimi, Bandar / Saeed, Abdullah A / Mustafa, Ali A / AlJabr, Waleed A / Batarfi, Munirah A / Hamza, Mauawia A

Advances in medical education and practice

2022 Volume 13, Page(s) 733–739

Abstract: Background: Retention of basic biomedical sciences knowledge is of great importance in medical practice. This study aimed to provide some insights into medical interns' ability to recall theoretical knowledge of medical microbiology and to explore ... ...

Abstract	Background: Retention of basic biomedical sciences knowledge is of great importance in medical practice. This study aimed to provide some insights into medical interns' ability to recall theoretical knowledge of medical microbiology and to explore factors that affect its retention. Methods: In this cross-sectional study conducted between January and March 2019, an anonymized questionnaire with 10 validated multiple-choice questions about medical microbiology was distributed as hard copies to test the ability to recall knowledge of Saudi medical interns in three tertiary training hospitals in Riyadh, Saudi Arabia. Results: A total of 300 medical interns [164 females (54.7%) and 136 males (45.3%)], in three major tertiary medical care centers in Riyadh, Saudi Arabia, voluntarily participated in the study. Almost a third of participants, 107 (36.4%), graduated from medical schools adopting a traditional curriculum, whereas 184 (63.6%) graduated from medical schools adopting problem-based learning (PBL) instructional approach. The overall mean score out of 10 marks was 3.9±1.8 with almost 82% failures scoring less than six marks. Both total and pass/fail grades were significantly associated with interns who graduated from private colleges. Scores were not significantly associated with any of the investigated parameters except type of college (governmental vs private) with a Conclusion: The current study revealed an overall poor recall of knowledge in microbiology among interns. Our findings suggest a need for a careful revision of curriculum to correct deficiencies, particularly in teaching medical microbiology. Integration of basic sciences is required as well as aligning teaching of basic medical sciences with clinical skills.
Language	English
Publishing date	2022-07-18
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2578539-4
ISSN	1179-7258
ISSN	1179-7258
DOI	10.2147/AMEP.S364330
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Article: Cardiovascular complications and outcomes among athletes with COVID-19 disease: a systematic review.

Alosaimi, Bandar / AlFayyad, Isamme / Alshuaibi, Salman / Almutairi, Ghazwaa / Alshaebi, Nawaf / Alayyaf, Abdulaziz / Alturaiki, Wael / Shah, Muhammad Azam

BMC sports science, medicine & rehabilitation

2022 Volume 14, Issue 1, Page(s) 74

Abstract: Background: Current evidence still emerging regarding the risk of cardiovascular (CV) sequel associated with coronavirus disease 2019 (COVID-19) infection, and considerable replicated studies are needed to ensure safe return-to-play. Therefore, we aimed ...

Abstract	Background: Current evidence still emerging regarding the risk of cardiovascular (CV) sequel associated with coronavirus disease 2019 (COVID-19) infection, and considerable replicated studies are needed to ensure safe return-to-play. Therefore, we aimed in this systematic review to measure the prevalence of CV complications suffered by COVID-19 athletic patients, explore the outcomes, optimal approaches to diagnoses, and safe return-to-play considerations. Methods: A systematic search on post COVID-19 infection quantitative studies among athletes was conducted following MeSH terms in Medline, Cochrane Library, Ovid, Embase and Scopus (through 15 January 2022). We included peer-reviewed studies reported athletes' CV complications and the outcomes post COVID-19 infection. Editorials, letters, commentaries, and clinical guidelines, as well as duplicate studies were excluded. Studies involving non-athletic patients were also excluded. Quality assessment was performed using Newcastle-Ottawa Scale. Results: We included 15 eligible articles with a total of 6229 athletes, of whom 1023 were elite or professional athletes. The prevalence of myocarditis ranged between 0.4% and 15.4%, pericarditis 0.06% and 2.2%, and pericardial effusion between 0.27% and 58%. Five studies reported elevated troponin levels (0.9-6.9%). Conclusions: This study provides a low prevalence of CV complications secondary to COVID-19 infection in short-term follow-up. Early recognition and continuous assessment of cardiac abnormality in competitive athletes are imperative to prevent cardiac complications. Establishing a stepwise evaluation approach is critical with an emphasis on imaging techniques for proper diagnosis and risk assessment for a safe return to play.
Language	English
Publishing date	2022-04-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2719537-5
ISSN	2052-1847
ISSN	2052-1847
DOI	10.1186/s13102-022-00464-8
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