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1.
Revista Medica del Instituto Mexicano del Seguro Social ; 59(5):387-394, 2021.
Article in Spanish | MEDLINE | ID: covidwho-1824232

ABSTRACT

BACKGROUND: Social distancing and lockdown imposed by the world governments as a result of the coronavirus pandemic declaration has resulted in a perfect scenario to the appearance of mental disorders. OBJECTIVE: To identify the levels of anxiety, depression and stress (emotional affective state) that people assigned to a primary health care clinic present during the lockdown. MATERIAL AND METHODS: The DASS-21 questionnaire was administered to 150 pacients at the principal entry door of a family medicine unit of the Mexican Institute for Social Security, located in Reynosa, Tamaulipas, between April and May 2020. In addition, the internal validity test of the questionnaire was estimated using Cronbach's alpha, and also an association analysis was estimated using Pearson's chi squared test. RESULTS: The internal validity analysis indicated that the questionnaire is acceptable in its general version: Cronbach's alpha = 0.907. However, at the subscales level it is barely acceptable. The results indicated that 42% of the sample present some type of mental disorder, with anxiety being the most persistent. In addition, the estimated levels vary according to sex, educational level and nutritional status. CONCLUSIONS: During periods of lockdown, mental problems tend to arise and get worse, which is why it is necessary to implement emotional support programs, especially for working women with obesity weight problems, because they are the most vulnerable group in the face of this situation.

2.
Tehran University Medical Journal ; 79(9), 2021.
Article in Persian | CAB Abstracts | ID: covidwho-1824225

ABSTRACT

Background: Age is a strong risk factor for increasing the risk of severity and death from Covid-19. The risk of hospitalization for Covid-19 disease increases with age. Since the elderly constitute a large proportion of Covid-19 patients, the present study was performed to evaluate the severity of the disease in the hospitalized elderly due to Covid-19 and the delay in hospitalization and death resulting from it, for better disease management .

3.
Case Reports in Oncology ; 15(1):442-446, 2022.
Article in English | ProQuest Central | ID: covidwho-1824208

ABSTRACT

Tumor lysis syndrome (TLS) is an oncologic emergency characterized by the destruction of tumor cells leading to an influx of large amounts of uric acid, potassium, and phosphorus into systemic circulation. It most often occurs after the initiation of cytotoxic therapy in high-grade lymphomas and leukemias;however, rarely it may occur spontaneously. The authors report a case of spontaneous tumor lysis causing electrolyte abnormalities and acute kidney injury in a patient with subsequently diagnosed large chronic lymphocytic leukemia tumor burden. Spontaneous TLS can be the first presentation of underlying malignancy;therefore, physicians should be aware of the associated findings.

4.
Case Reports in Neurology ; 14(1):130-148, 2022.
Article in English | ProQuest Central | ID: covidwho-1824148

ABSTRACT

The longer term neurocognitive/neuropsychiatric consequences of moderate/severe COVID-19 infection have not been explored. The case herein illustrates a complex web of differential diagnosis. The onset, clinical trajectory, treatment course/response, serial neuroimaging findings, and neuropsychological test data were taken into account when assessing a patient presenting 8 months post-COVID-19 (with premorbid attention-deficit hyperactivity disorder, diabetes mellitus, mood difficulties, and a positive family history of vascular dementia). Her acute COVID-19 infection was complicated by altered mental status associated with encephalopathy and bacterial pneumonia. After recovery from COVID-19, the patient continues to experience persisting cognitive and emotive difficulties despite an ongoing psychopharmacotherapy regimen (16 + years), psychotherapy (15 + sessions), and speech-language pathology SLP;2 × week/for 12 weeks). The purpose of her most recent and comprehensive neuropsychological evaluation was to determine the presence/absence of neurocognitive disorder. The patient is a 62-year-old Caucasian woman. Cognitive screening was completed 3 months post-acute COVID-19 as part of an SLP evaluation, and a full neuropsychological evaluation was conducted 8 months post-COVID-19 recovery on an outpatient basis (in person). The patient had serial neuroimaging. Initial neurological evaluation during acute COVID-19 included unremarkable brain computed tomography (CT)/magnetic resonance imaging. However, follow-up CT (without contrast) revealed, in part, “asymmetric perisylvian atrophy on the left.” Full neuropsychological evaluation at 8 months post-COVID-19 recovery revealed a dysexecutive syndrome characterized by language dysfunction and affective theory-of-mind deficit, consistent with dementia. There is need for careful use of differential diagnosis in COVID-19 patients with multiple risk factors that make them more susceptible to long-term neurological complications post-COVID-19. Differential diagnosis should involve multidisciplinary assessment (e.g., neuropsychology, SLP, neurology, and psychiatry).

5.
Iranian journal of Kidney Diseases ; 16(2):147-151, 2022.
Article in English | MEDLINE | ID: covidwho-1823867

ABSTRACT

Acute kidney injury (AKI) , proteinuria in the nephrotic or subnephrotic range and hematuria might be seen in patients with coronavirus disease 2019 (COVID-19) infection. In this case study we present a 59 years old manwho was diagnosed with immune-complex glomerulonephritis after development of rapidly progressive kidney failure accompanied by pulmonary hemorrhage, 2 months after COVID-19 infection. The patient was hospitalised with the diagnosis of acute kidney injury and nephrotic syndrome. Hemodialysis was performed due to uremic symptoms. Cyclophosphamide, methylprednisolone and plasmapheresis were started. Pathologic examination of kidney biopsy revealed features compatible with immune complex-related acute glomerulonephritis. Cyclophosphamide and plasmapheresis were discontinued , and treatment with 1 mg/kg/day methylprednisolone was continued. Immune-complex glomerulonephritis can be seen following COVID-19 infection. It is important to diagnose this disease entity as soon as possible . Steroidtherapy and other supportive modalities might be sufficient in the treatment. DOI: 10.52547/ijkd.6527.

6.
Psychiatria Danubina ; 33(Suppl 4):1340-1343, 2021.
Article in English | MEDLINE | ID: covidwho-1823780
7.
Egyptian Journal of Hospital Medicine ; 87:1035-1038, 2022.
Article in English | Academic Search Complete | ID: covidwho-1823665

ABSTRACT

Background: Coronavirus disease 2019 (COVID-19) may benefit from a chest CT scan for diagnosis, identification of sequelae, and prognosis. Ground-glass opacities, vascular enlargement, bilateral abnormalities, lower lobe involvement, and posterior inclination have all been found on chest CT in more than 70% of RT-PCR test-proven COVID-19 cases. In more than one-third of patients who survived severe coronavirus illness 2019 pneumonia, a six-month follow-up CT revealed fibrotic-like alterations in the lung. COVID-19 survivors exhibited continued improvement on chest CT following a year of follow-up after discharge. Residual lesions, on the other hand, could be seen and linked with lung volume metrics. Early diagnosis of post-COVID-19 pulmonary fibrosis cases may allow for the prevention or at least modification of this disabling consequence. Objective: Highlight chest CT imaging for the symptomatic COVID-19 patient after three months and the radiologist should be aware of the pulmonary sequelae changes at imaging. Methods: These databases were searched for articles published in English in 3 databases (PubMed - Google scholarscience direct) and Boolean operators (AND, OR, NOT) had been used such as (Chest CT AND COVID-19 Patients OR CT chest findings) and in peer-reviewed articles between February 2020 and December 2021. Documents in a language apart from English have been excluded as sources for interpretation were not found. Papers apart from main scientific studies had been excluded: documents unavailable as total written text, conversation, conference papers, and dissertations. Conclusion: Chest CT imaging plays an important role in diagnosis and follow-up patients in COVID-19 disease. [ FROM AUTHOR] Copyright of Egyptian Journal of Hospital Medicine is the property of Egyptian Journal of Hospital Medicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

8.
Mendel ; 28(1), 2022.
Article in English | Scopus | ID: covidwho-1823664

ABSTRACT

The new Coronavirus or simply Covid-19 causes an acute deadly disease. It has spread rapidly across the world, which has caused serious consequences for health professionals and researchers. This is due to many reasons including the lack of vaccine, shortage of testing kits and resources. Therefore, the main purpose of this study is to present an inexpensive alternative diagnostic tool for the detection of Covid-19 infection by using chest radiographs and Deep Convolutional Neural Network (DCNN) technique. In this paper, we have proposed a reliable and economical solution to detect COVID-19. This will be achieved by using X-rays of patients and an Incremental-DCNN (I-DCNN) based on ResNet-101 architec-ture. The datasets used in this study were collected from publicly available chest radiographs on medical repositories. The proposed I-DCNN method will help in diagnosing the positive Covid-19 patient by utilising three chest X-ray imagery groups, these will be: Covid-19, viral pneumonia, and healthy cases. Furthermore, the main contribution of this paper resides on the use of incremental learning in order to accommodate the detection system. This has high computational energy requirements, time consuming challenges, while working with large-scale and reg-ularly evolving images. The incremental learning process will allow the recognition system to learn new datasets, while keeping the convolutional layers learned pre-viously. The overall Covid-19 detection rate obtained using the proposed I-DCNN was of 98.70% which undeniably can contribute effectively to the detection of COVID-19 infection. © 2022, Brno University of Technology. All rights reserved.

9.
Medicus ; 62(3):38-38, 2022.
Article in English | CINAHL | ID: covidwho-1823572
10.
Medicus ; 62(3):12-13, 2022.
Article in English | CINAHL | ID: covidwho-1823522
11.
Akademik Acil Tip Olgu Sunumlari Dergisi ; 12(3):85-87, 2021.
Article in English | EMBASE | ID: covidwho-1822751

ABSTRACT

Introduction: Epistaxis and gingival bleeding are among the most common presentation to the emergency department for patients with thrombocytopenia. Here, we present a case who was admitted to the emergency department with thrombocytopenia and was diagnosed with metastatic cancer of unknown primary origin. Case Report: A 26-year-old male patient was admitted to the emergency department with gingival bleeding and epistaxis. The body temperature was 38.3 °C. Petechial rash, ecchymosis or organomegaly was not detected on physical examination. Laboratory results revealed thrombocytopenia as 31 × 103 (159-388 × 103/μL). Although hemoglobin and leukocyte counts were normal, no band or precursor cell was observed in the patient's peripheral blood smear. There was no history of weight loss, night sweats, arthritis, malar rash, photosensitivity, contact with ticks, animals, or a COVID-19 patient. Serological tests performed for infections such as HIV, EBV, HCV, Crimean-Congo hemorrhagic fever were negative. Bone marrow biopsy was performed due to the unexplained cytopenia, reported as "signet ring cell metastatic adenocarcinoma". Gastrointestinal system endoscopy was performed to detect primary cancer. A biopsy was taken from the antrum and corpus revealed gastritis. An FDG PET-CT was revealed heterogeneously pathologically increased FDG attitude in all axial and appendicular bones. Despite all the modalities of diagnosis, the origin was not found and the patient was transferred to the oncology department for treatment with a diagnosis of cancer of unknown origin with bone marrow infiltration. Conclusion: Bone marrow metastases should be kept in mind in patients presenting with thrombocytopenia.

12.
Osteopathic Family Physician ; 13(5):31-37, 2021.
Article in English | EMBASE | ID: covidwho-1822745

ABSTRACT

What we have learned about COVID-19 is ongoing as research continues to evolve. This article will serve to provide a succinct, comprehensive overview of SARS-CoV-2 with respect to epidemiology, risk factors, prevention, presentation, management and vaccinations.

13.
Osteopathic Family Physician ; 13(3):35-39, 2021.
Article in English | EMBASE | ID: covidwho-1822742

ABSTRACT

Since the declaration of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in March 2020 by the World Health Organization (WHO), there has been an emergence of a new syndrome termed multisystem inflammatory syndrome in children (MIS-C) associated with COVID-19. MIS-C is defined by the presence of fever, systemic inflammation and multiorgan dysfunction in association with SARS-CoV-2 infection or COVID-19 exposure. Knowledge of this syndrome’s presentation and pathophysiology is constantly evolving as more cases are reported in the literature. This case identifies a 3-month-old patient who tested negative for SARS-CoV-2 antigen, reverse transcriptase polymerase chain reaction (RT-PCR) and antibodies but qualified for MIS-C diagnosis. To the best of our knowledge and through extensive research at the time of diagnosing and reporting this condition to the healthcare authorities, we report the youngest pediatric patient with MIS-C diagnosis. We document this case to contribute to further understanding the variable manifestations of MIS-C and the importance of early diagnosis and treatment with intravenous immunoglobulin (IVIG).

14.
Journal of Advances in Medical and Biomedical Research ; 30(140):223-231, 2022.
Article in English | EMBASE | ID: covidwho-1822725

ABSTRACT

Background & Objective: Hospital readmissions are common and expensive. Identifying the patients who are at high risk of readmission can decrease readmission cases. Hence, in the present study, the clinical characteristics, biomarker results, and Computed Tomography (CT) criteria of all the readmitted patients were assessed. Materials & Methods: Data of 98 readmitted patients to the Baqiyatallah Hospital in Tehran were reviewed from December 22, 2019 through June 20, 2020. We classified the readmitted patients into three groups: patients (1) without COVID-19 symptoms, (2) with suspected COVID-19, and (3) with confirmed COVID-19 infection. Results: Our data revealed that the frequency of gender was significantly different between the groups (with higher frequency in men). The duration between the two admissions was significantly low in the confirmed COVID-19 group. Ischemic heart disease, hypertension, and diabetes mellitus were more common in confirmed COVID-19 group. High levels of CRP, and ESR were detected in the confirmed COVID-19 group. During the first admission, the WBC count was significantly lower in the confirmed COVID-19 group, the RBC count and hemoglobin level were significantly higher in both first and second admissions in the confirmed COVID-19 group. Most of the patients had bilateral lung lesions and ground glass opacities (GGO) in their CT Scans in the second admission. Conclusion: Our data suggested that the older men and ischemic heart disease, hypertension, and diabetes mellitus had a high risk of hospital readmission in COVID-19. The confirmed COVID-19 group showed a shorter time to be readmitted.

15.
Revista de la Facultad de Medicina Humana ; 22(2):460-467, 2022.
Article in English | EMBASE | ID: covidwho-1822698

ABSTRACT

Objective: To determine the factors associated with anxiety in medical interns at a private university in the context of the COVID-19 pandemic. Methods: The study design is quantitative, observational, analytical, retrospective, cross-sectional. The sample was composed of 343 human medicine interns, who were selected by a non-probabilistic snowball type sampling. The Coronavirus Anxiety Scale instrument was used for the diagnosis of anxiety. A Poisson regression model with robust bivariate and multiple variances was used to calculate the prevalence ratio and their respective 95% confidence intervals. Results: The prevalence of anxiety and severe depressive symptoms of 22,74% and 6,71% respectively was found. Depressive symptoms aPR 3.27 (95% CI 1,06 - 10,09), having children aPR 2,61 (95% CI 1,26 - 5,38), and the diagnosis of COVID-19 in the last 12 months aPR 2,20 (95% CI 1,25 - 3,87) were associated with the presence of anxiety in the multiple regression model. Conclusions: The presence of severe depressive symptoms, having children, the diagnosis of COVID-19 in the last 12 months are associated with the diagnosis of anxiety in medical interns at a private university in Lima, 2021.

16.
Cureus Journal of Medical Science ; 14(4):6, 2022.
Article in English | Web of Science | ID: covidwho-1822591

ABSTRACT

Viral-induced myocarditis has different presentations, from being asymptomatic to fatal arrhythmias. It is crucial to recognize and treat this condition early to improve morbidity and mortality. We report a case of a 56-year-old male who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) three days ago and presented with syncope. The physical exam was relevant for right eyebrow laceration, tachycardia, and hypotension that responded to intravenous fluid, but two hours later, he had mental status changes, bradycardia, hypotension, and cardiac arrest. His repeated electrocardiogram (ECG) showed diffuse ST-segment elevation. Troponemia was evident in his blood work. Point-of-care ultrasound (POCUS) at the bedside showed dilated cardiomyopathy. Unfortunately, the patient re-arrested and needed advanced cardiovascular life support (ACLS). The initial assessment of SARS-CoV-2, serial ECGs, and cardiac markers are essential for a prompt approach and therapy in COVID-19-induced myocarditis.

17.
Journal of Radiology Case Reports ; 2022(2):12-20, 2022.
Article in English | EMBASE | ID: covidwho-1822480

ABSTRACT

IgG4-related disease is an autoimmune condition that results in inflammation and fibrosis throughout multiple organ systems. This disease is rare;however, it can mimic many more prevalent conditions clinically and thus should be included in their differential diagnoses. Although autoimmune pancreatitis is the most common abdominal manifestation, the disease can afflict the hepatobiliary, vascular and renal systems as well. We present a case of a 78-year-old male with symptoms of chronic fatigue and weight loss. Imaging was performed with the expectation of revealing a malignancy, although the features of IgG4-related disease involving multiple organs were detected instead. Serology confirmed the diagnosis. It is imperative to diagnose IgG4-related disease early as it has a different treatment and favorable prognosis compared to many malignancies.

18.
Pilot and Feasibility Studies ; 8(1), 2022.
Article in English | EMBASE | ID: covidwho-1822218

ABSTRACT

Background: Adherence to adjuvant endocrine therapy is affected by medication side-effects and associated distress. Previous interventions focused on educating women to enhance adherence have proved minimally effective. We co-designed an Acceptance and Commitment Therapy (ACT) intervention to enhance medication decision-making and quality of life by targeting a broader range of factors, including side-effect management and psychological flexibility. This study aims to establish key trial parameters, assess the acceptability of the intervention and the extent to which it can be delivered with fidelity, and to demonstrate “proof of principle” regarding its efficacy on primary and process outcomes. Methods: The ACTION intervention includes an individual 1:1 ACT session followed by three group sessions involving 8–10 women and two practitioner psychologists. Participants are also provided with access to a website containing evidence-based methods for self-managing side-effects. The ACT sessions were adapted during the COVID-19 pandemic to be remotely delivered via video conferencing software. To evaluate the feasibility and acceptability of this intervention, a multi-site, exploratory, two-arm, individually randomised external pilot trial with a nested qualitative study will be undertaken. Eighty women with early stage breast cancer prescribed adjuvant endocrine therapy will be randomised (1:1) to receive treatment as usual or treatment as usual plus the ACTION intervention. The planned future primary outcome is medication adherence assessed by the ASK-12 measure. Progression to a phase III RCT will be based on criteria related to recruitment and follow-up rates, acceptability to patients, competency and fidelity of delivery, and proof of principle for change in medication adherence. Discussion: This external pilot trial will be used to ascertain the feasibility of undertaking a future phase III RCT to definitively evaluate an ACT-based intervention to support medication taking behaviour and quality of life in women with early stage breast cancer on adjuvant endocrine therapy. Trial registration: ISRCTN: 12027752. Registered 24 December 2020, https://doi.org/10.1186/ISRCTN12027752

19.
Computers in Biology and Medicine ; : 105587, 2022.
Article in English | ScienceDirect | ID: covidwho-1821197

ABSTRACT

Recent years have seen deep neural networks (DNN) gain widespread acceptance for a range of computer vision tasks that include medical imaging. Motivated by their performance, multiple studies have focused on designing deep convolutional neural network architectures tailored to detect COVID-19 cases from chest computerized tomography (CT) images. However, a fundamental challenge of DNN models is their inability to explain the reasoning for a diagnosis. Explainability is essential for medical diagnosis, where understanding the reason for a decision is as important as the decision itself. A variety of algorithms have been proposed that generate explanations and strive to enhance users' trust in DNN models. Yet, the influence of the generated machine learning explanations on clinicians' trust for complex decision tasks in healthcare has not been understood. This study evaluates the quality of explanations generated for a deep learning model that detects COVID-19 based on CT images and examines the influence of the quality of these explanations on clinicians’ trust. First, we collect radiologist-annotated explanations of the CT images for the diagnosis of COVID-19 to create the ground truth. We then compare ground truth explanations with machine learning explanations. Our evaluation shows that the explanations produced. by different algorithms were often correct (high precision) when compared to the radiologist annotated ground truth but a significant number of explanations were missed (significantly lower recall). We further conduct a controlled experiment to study the influence of machine learning explanations on clinicians' trust for the diagnosis of COVID-19. Our findings show that while the clinicians’ trust in automated diagnosis increases with the explanations, their reliance on the diagnosis reduces as clinicians are less likely to rely on algorithms that are not close to human judgement. Clinicians want higher recall of the explanations for a better understanding of an automated diagnosis system.

20.
Methods in Microbiology ; 2022.
Article in English | ScienceDirect | ID: covidwho-1821091

ABSTRACT

Since the beginning of the COVID-19 pandemic, many diagnostic approaches (RT-qPCR, RAPID, LFA) have been adopted, with RT-qPCR being the most popular/gold standard. But, one of the major problems of COVID-19 diagnostics is the presentation of a wide range of symptoms which varies among different patients and needs early diagnosis for better management. Even though RT-qPCR is a precise molecular technique false negative results may be obtained. On the other hand, CRISPR-based SARS-CoV-2 detection approaches are cost and time efficient, highly sensitive and specific, and do not require sophisticated instruments. Moreover, they also show promise for increased scalability and diagnostic tests can be carried out at the point-of-care (POC). The CRISPR can be customized to the target of any genomic region of interest within the desired genome possessing a broad range of other applications and has been efficiently implemented for diagnosis of SARS-CoV-2. The CRISPR/Cas systems provide the specific gene targeting with immense potential to develop new generation diagnostics and therapeutics. Moreover, with the CRISPR/Cas based therapeutics, multiplexing is possible, where different sgRNAs or crRNAs can be guided to more than one target within the same gene thus decreasing the possibility of viral escape mutants. As an exceptionally efficient tool CRISPR/Cas13 and CARVER (Cas13-assisted restriction of viral expression and readout) systems can be implemented to target a broad range of ssRNA viruses that can be used for both, diagnosis and treatment for a variety of viral diseases including SARS-CoV-2. However, the efficacy and safety of the CRISPR-based therapeutics needs to be assessed in pre-clinical and clinical settings. Although the CRISPR biotechnologies are not very helpful to control the present pandemic of COVID-19 it is hopeful that the limitations of the CRISPR/Cas system can be overcome in the near future. The CRISPR based strategies may lead to a new era in the field of disease diagnosis and therapeutic development that would make us better prepared for future viral threats.

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