The COVID-19 and iron-repertoire in an observational cross-sectional analytical study of Egyptian patients

Background and rationale: Coronavirus disease 2019 (COVID-19) infection is a respiratory tract infection because of a novel coronavirus. The clinical picture ranges from asymptomatic to severe manifestations mandating intensive care and respiratory support. We aimed to assess the serum level of iron, total iron binding capacity (TIBC), and transferrin saturation in COVID-19 patients and their relation to disease severity and outcome. Methodology: This observational cross-sectional analytical study was conducted on 100 confirmed cases of COVID-19 who were admitted to Kasr Al-Ainy hospitals between June and December 2020.Serum levels of iron, total iron binding capacity (TIBC), and transferrin saturation were measured for all study populations. Result: One hundred patients were involved in this research, 51males and 49 females, with a mean age of 51±14.9years. Regarding the disease severity,53% were moderate cases, 34% were mild, and 13% were severe cases. Fifty-two (54.2%) patients showed normal serum levels of iron, 38 patients (39.6%) showed high serum levels of iron, and 6 patients (6.3%) showed low serum levels of iron. The mean ±SD values of iron, TIBC, and transferrin saturation were 163.1±105 mcg/dL, 366 ± 162.6 mcg/dL, 44.4 ± 20.2 %, respectively. Iron, total iron binding capacity (TIBC) levels and transferrin saturation did not show a significant association as regards either COVID-19 severity or mortality. Mortality and deterioration were detected in 31.7% out of 60 patients with COVID-19. The results showed that obese patients showed a higher percentage of severe COVID-19,which was statistically significant (p=0.037).There was a statistically significant higher mortality rate in patients with severe COVID-19 (p=0.000).High mortality was observed significantly in patients with diabetes mellitus (p=0.041).Iron levels, total iron binding capacity (TIBC) levels and transferrin saturation did not show a significant association regarding either COVID-19 severity or mortality. Conclusion: In our study, COVID-19 severity was not related to iron metabolism but was affected by obesity and diabetes mellitus. COVID-19 mortality was significantly associated with diabetes. © 2020 The author (s). Published by Zagazig University.

COVID-19 Severity Shifts the Cytokine Milieu Toward a Proinflammatory State in Egyptian Patients: A Cross-Sectional Study.

Despite extensive research to decipher the immunological basis of coronavirus disease (COVID-19), limited evidence on immunological correlates of COVID-19 severity from MENA region and Egypt was reported. In a single-center cross-sectional study, we have analyzed 25 cytokines that are related to immunopathologic lung injury, cytokine storm, and coagulopathy in plasma samples from 78 hospitalized Egyptian COVID-19 patients in Tanta University Quarantine Hospital and 21 healthy control volunteers between April 2020 and September 2020. The enrolled patients were divided into 4 categories based on disease severity, namely mild, moderate, severe, and critically ill. Interestingly, interleukin (IL)-1-α, IL-2Rα, IL-6, IL-8, IL-18, tumor necrosis factor-alpha (TNF-α), FGF1, CCL2, and CXC10 levels were significantly altered in severe and/or critically ill patients. Moreover, principal component analysis (PCA) demonstrated that severe and critically ill COVID-19 patients cluster based on specific cytokine signatures that distinguish them from mild and moderate COVID-19 patients. Specifically, levels of IL-2Rα, IL-6, IL-10, IL-18, TNF-α, FGF1, and CXCL10 largely contribute to the observed differences between early and late stages of COVID-19 disease. Our PCA showed that the described immunological markers positively correlate with high D-dimer and C-reactive protein levels and inversely correlate with lymphocyte counts in severe and critically ill patients. These data suggest a disordered immune regulation, particularly in severe and critically ill Egyptian COVID-19 patients, manifested as overactivated innate immune and dysregulated T-helper1 responses. Additionally, our study emphasizes the importance of cytokine profiling to identify potentially predictive immunological signatures of COVID-19 disease severity.

Acknowledgment of patient in sense behaviors using bidirectional ConvLSTM

Recognizing patient activity in real-time from video or images collected by a CCTV camera available in the hospital during a Covid-19 situation has proven challenging. The dilemma of patient activity recognition is identifying and recognizing a patient's various actions in a series of videos. The process presented in our paper needs to achieve unrestricted, generic behavior in videos. Detecting events in any video is often difficult because we use Bidirectional ConvLSTM to create a robust patient in the sense behaviors (PSB) framework capable of eliminating certain barriers. To begin this paper by proposing a new Bidirectional ConvLSTM for establishing a stable PSB scheme. Our proposed model is capable of accurately predicting patient's behaviors like seated, standing, and so on. Using Bidirectional ConvLSTM, learning information from a pre-trained model is an excellent place to start for rapidly developing a new PSB system using a current PSB database, as both the source and target datasets are critical. All parameters are frozen in a pre-trained PSB device. Then, using the UCI and HMDB51 dataset to train the model, variables and local relations are progressively fixed. A novel PSB framework is developed using the target dataset. Relevant tests are conducted using commonly used research indices to assess prediction precision accuracy. They acknowledge six patient's behavior with a weighted accuracy rate of 92%. For recognizing novel activity, laying, the precision of a corresponding prediction is the best, 91%, of all six test results. The proposed work uses bidirectional ConvLSTM with modified activation layers to sense the patients' behavior. This article may be a patient activity recognition system to identify an individual. It takes a clip of COVID-19 patients as input and looks for matches inside the hold-on images.

Development of Written Counseling Tool for Subcutaneous Anticoagulant Use in COVID-19 Patients

There is a lack of subcutaneous anticoagulant counseling tools for COVID-19 patients. This study aims to develop and validate a written counseling tool for subcutaneous anticoagulant use in COVID-19 patients. A prospective cohort study was performed with expert panels and patients. The tool was validated by hospital pharmacists using Content Validity Index (I-CVI), Scale-level-CVI (S-CVI), and Universal Acceptance (UA). Face validation by patients was determined using Item Acceptance Index (IAI), and Universal Acceptance (UA). Hospital pharmacists (n=26) were mostly female (n=18, 69.2%) and Chinese (n=20, 76.9%), with a mean age of 35.8 +/- 2.9 years. All items were assessed relevantly (n=18, 100%), I-CVIs ranging from 0.96-1.00 by hospital pharmacists. The average proportion of items, I-CVI average, (Sum of I-CVI/no. of items: 17.88/18) was reported as 0.99. S-CVI/UA (Sum of UA/no. of items: 15/18) was reported as 0.83, and S-CVI/Average (Sum of I-CVI/no. of items: 17.88/18) was reported as 0.99 indicating high content validity. Patients (n=28) involved in face validation of the construct were mostly female (n=19, 67.9%), Malay (n=46.4%), and tertiary educated (n=20, 71.4%) with a mean age of 38.0 +/- 9.8 years. All items were marked as relevant (n=18, 100%), with IAI ranging from 0.93-1.00, suggesting patients accepted each item of the construct. The average proportion of items was reported as 0.99 (Sum of IAI/no. of items: 17.82/18), indicating excellent acceptance and content comprehension among patients. The developed counseling tool is acceptable for anticoagulant education among COVID-19 patients.

Diabetes and deaths of COVID-19 patients: Systematic review of meta-analyses.

Background: COVID-19 is affecting all kinds of patients including diabetics. This article provides an overview of conducted meta-analyses regarding the effect of diabetes on the deaths of COVID-19 patients. Methodology: The study was conducted as per preferred reporting items for systematic reviews and meta-analysis (PRISMA) statement. Data sources: The relevant meta-analyses were searched on PubMed till April 2021 and data was extracted from 24 relevant meta-analyses. The overall estimate was calculated in terms of odds ratio or relative risk with a 95% confidence interval. Results: A total of 09 meta-analyses showed the association of diabetes with the death of COVID-19 patients and 15 meta-analyses have reported the association of diabetes with other comorbidities in the death of COVID-19 patients. The pooled odds ratio or relative risk has shown a significant association of diabetes alone or its associated comorbidities with deaths of COVID-19 patients. Conclusion: Patients with diabetes and its associated comorbidities need more monitoring if get SARS-Cov-2 infection to reduce deaths.

Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and identification of high-risk group: a large retrospective study.

Background: At the end of 2019, the coronavirus disease 2019 (COVID-19) pandemic increased the hospital burden of COVID-19 caused by the SARS-Cov-2 and became the most significant health challenge for nations worldwide. The severity and high mortality of COVID-19 have been correlated with various demographic characteristics and clinical manifestations. Prediction of mortality rate, identification of risk factors, and classification of patients played a crucial role in managing COVID-19 patients. Our purpose was to develop machine learning (ML)-based models for the prediction of mortality and severity among patients with COVID-19. Identifying the most important predictors and unraveling their relationships by classification of patients to the low-, moderate- and high-risk groups might guide prioritizing treatment decisions and a better understanding of interactions between factors. A detailed evaluation of patient data is believed to be important since COVID-19 resurgence is underway in many countries. Results: The findings of this study revealed that the ML-based statistically inspired modification of the partial least square (SIMPLS) method could predict the in-hospital mortality among COVID-19 patients. The prediction model was developed using 19 predictors including clinical variables, comorbidities, and blood markers with moderate predictability (Q2 = 0.24) to separate survivors and non-survivors. Oxygen saturation level, loss of consciousness, and chronic kidney disease (CKD) were the top mortality predictors. Correlation analysis showed different correlation patterns among predictors for each non-survivor and survivor cohort separately. The main prediction model was verified using other ML-based analyses with a high area under the curve (AUC) (0.81-0.93) and specificity (0.94-0.99). The obtained data revealed that the mortality prediction model can be different for males and females with diverse predictors. Patients were classified into four clusters of mortality risk and identified the patients at the highest risk of mortality, which accentuated the most significant predictors correlating with mortality. Conclusion: An ML model for predicting mortality among hospitalized COVID-19 patients was developed considering the interactions between factors that may reduce the complexity of clinical decision-making processes. The most predictive factors related to patient mortality were identified by assessing and classifying patients into different groups based on their sex and mortality risk (low-, moderate-, and high-risk groups).

Systematic Investigation Of Cardiovascular Problems In Children And Adult With Covid-19 And Multiple Trauma In Icu Based On Radiology And Analgesia View

This study deals with the systematic investigation of cardiovascular problems in Covid-19 and multiple trauma patients hospitalized in special units, relying on radiology and analgesia stereotypes. Abnormal heart rhythm, which includes high heart rate, irregular heart rate and slow heart rate, can be one of the complications of Corona disease. Also, some of the drugs used for Corona may have side effects such as lowering the heart rate. For example, in one of the recent studies, after starting treatment with Remdesivir, some patients experienced a drop in heart rate. In this study, doctors used dopamine injections to stabilize the patient's heart rate during the 5-day period of Redemsivir treatment, and the patients' heart problems resolved spontaneously at the end of the treatment. Corona virus damages the heart in different ways. The formation of a blood clot is one of the serious complications of Corona, which in some cases leads to death. Its symptoms include severe pain in the chest (heart and lungs), as well as shortness of breath. If the infection caused by Corona disease is severe enough to damage the lungs, less oxygen reaches the heart, which can also reduce the delivery of nutrients to the heart. Therefore, the heart needs more oxygen. The lack of this oxygen and nutrients causes damage to the heart muscles, which is accompanied by pain. Among the other causes of heart pain during the Corona disease, we can mention the inflammation of the heart muscle (myocarditis) and the inner wall of the heart (pericarditis), which can be caused by viral infections. At first, scientists thought that this inflammation was caused by the direct attack of the Corona virus on the heart muscle, but with further research, it became clear that this condition is a result of the overreaction of the body's immune system to the infection caused by the virus and can Another reason for pain in the chest and heart and arrhythmia (irregular heartbeat). [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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.)

The impact of lncRNA-GAS5/miRNA-200/ACE2 molecular pathway on the severity of COVID-19.

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is responsible for coronavirus disease (COVID-19), potentially has severe adverse effects, leading to public health crises worldwide. In COVID-19, deficiency of ACE-2 is linked to increased inflammation and cytokine storms via increased angiotensin II levels and decreased ACE-2/Mas receptor axis activity. MiRNAs are small sequences of noncoding RNAs that regulate gene expression by binding to the targeted mRNAs. MiR-200 dysfunction has been linked to the development of ARDS following acute lung injury and has been proposed as a key regulator of ACE2 expression. LncRNA growth arrest-specific transcript 5 (GAS5) has been recently studied for its modulatory effect on the miRNA-200/ACE2 axis. OBJECTIVE: The current study aims to investigate the role of lncRNA GAS5, miRNA-200, and ACE2 as new COVID-19 diagnostic markers capable of predicting the severity of SARS-CoV-2 complications. METHODS: A total of 280 subjects were classified into three groups: COVID-19-negative controls (n=80), and COVID-19 patients (n=200) who required hospitalization were classified into two groups: group (2) moderate cases (n=112) and group (3) severe cases (n = 88). RESULTS: The results showed that the serum GAS5 expression was significantly down-expressed in COVID-19 patients; as a consequence, the expression of miR-200 was reported to be overexpressed and its targeted ACE2 was down-regulated. The ROC curve was drawn to examine the diagnostic abilities of GAS5, miR-200, and ACE2, yielding high diagnostic accuracy with high sensitivity and specificity. CONCLUSION: lncRNA-GAS5, miRNA-200, and ACE2 panels presented great diagnostic potential as they demonstrated the highest diagnostic accuracy for discriminating moderate COVID-19 and severe COVID-19 cases.

Predictors of depressive symptoms among hospitalized COVID-19 patients with respiratory problems.

COVID-19 patients and survivors quite often experience depressive symptoms, which can increase risk for lower immune system response and poorer recovery. Vulnerability to depressive symptoms may be elevated in those patients who have the most severe COVID-19 course of illness, that is, patients who require supplementary oxygen therapy or even intubation. The current study involved a unique sample of patients who were hospitalized due to COVID-19 and who required respiratory support (N = 34, 10 women) in which we investigated depressive symptoms as well as psychopathological personality traits (PID5) as predictors. The majority of patients (76.5%) presented some degree of depressive symptoms. Although we expected severe levels of depressive symptoms to be most prevalent, more patients showed rather moderate levels. At the same time, Negative Affectivity was most predictive of depressive symptoms. We suggest that medical care for patients with greater emotional sensitivity and vulnerability to stress be supplemented with psychological support in order to address depressive symptoms and foster recovery.

The mediating role of defense mechanisms in predicting perceived stress based on attachment styles in patients with COVID-19

The aim of this study was to investigate the mediating role of defense mechanisms in predicting perceived stress based on attachment styles in patients with COVID-19. The research method was descriptive-correlational. The statistical population included all people in Tehran who were infected with COVID-19 in 1399, who completed the questionnaires online. 300 people were selected by available and voluntary sampling method. The research instruments included Collins and Reader attachment style questionnaires, Cohen et al. perceived stress questionnaires, and Andrews et al. Data analysis was performed by path analysis method. The results showed that the hypothetical model had a good fit and was confirmed. Also, the results of path coefficients showed that the path coefficient of immature attachment style to the defense mechanism was immature and psychotic, negative and significant. Also, the results of indirect path coefficient showed that the relationship between undeveloped defense mechanism and perceived stress with mediated secure attachment was significant. Thus, secure attachment style mediated by underdeveloped defense mechanisms predicted the perceived stress level of patients with COVID-19. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

COVID-19 patient diagnosis and treatment data mining algorithm based on association rules.

Association rules are used in different data mining applications, including Web mining, intrusion detection, and bioinformatics. This study mainly discusses the COVID-19 patient diagnosis and treatment data mining algorithm based on association rules. General data The key time interval during the main diagnosis and treatment process (including onset to dyspnea, first diagnosis, admission, mechanical ventilation, death, and the time from first diagnosis to admission, etc.), the cause of death by laboratory examination, and so forth. The frequency of drug use was counted and association rule algorithm was used to analyse and study the effect of drug treatment. The results could provide reference for rational drug use in COVID-19 patients. In this study, in order to improve the efficiency of data mining in data processing, it is necessary to pre-process these data. Secondly, in the application of this data mining, the main objective is to extract association rules of COVID-19 complications. So its properties for mining should be various diseases. Therefore, it is necessary to classify individual disease types. During the construction of association rules database, the data in the data warehouse is analysed online and the association rules data mining is analysed. The results are stored in the knowledge base for decision support. For example, the prediction results of the decision tree can be displayed at this level. After the construction of the mining model, the display interface can be mined, and the decision-maker can input the corresponding attribute value and then predict it. 0.76% of people had both COVID-19, CHD and hypertension, while 46.5% of people with COVID-19 and CHD were likely to have hypertension. This study is helpful to analyse the imaging factors of COVID-19 disease.

Assessing and Reassessing the Association of Comorbidities and Coinfections in COVID-19 Patients.

Coronavirus disease 2019 (COVID-19) has posed an enormous global health and economic burden. To date, 324 million confirmed cases and over 5.5 million deaths have been reported. Several studies have reported comorbidities and coinfections associated with complicated and serious COVID-19 infections. Data from retrospective, prospective, case series, and case reports from various geographical locations were assessed, which included ~ 2300 COVID-19 patients with varying comorbidities and coinfection. We report that Enterobacterales with Staphylococcus aureus was the most while Mycoplasma pneumoniae was the least prevalent coinfection in COVID-19 patients with a comorbidity. In this order, hypertension, diabetes, cardiovascular disease, and pulmonary disease were the prevalent comorbidities observed in COVID-19 patients. There was a statistically significant difference in the prevalent comorbidities observed in patients coinfected with Staphylococcus aureus and COVID-19 and a statistically non-significant difference in the prevalent comorbidities in patients coinfected with Mycoplasma pneumoniae and COVID-19 as compared to similar infections in non-COVID-19 coinfection. We report a significant difference in the prevalent comorbidities recorded in COVID-19 patients with varying coinfections and varying geographic study regions. Our study provides informative data on the prevalence of comorbidities and coinfections in COVID-19 patients to aid in evidence-based patient management and care.

Th-1, Th-2, Th-9, Th-17, Th-22 type cytokine concentrations of critical COVID-19 patients after treatment with Remdesivir.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rapidly spread around the world causing a pandemic known as coronavirus disease 2019 (COVID-19). Cytokine storm was directly correlated with severity of COVID-19 syndromes. We evaluated the levels of 13 cytokines in ICU hospitalized COVID-19 patients (n = 29) before, and after treatment with Remdesivir as well as in healthy controls (n = 29). Blood samples were obtained from ICU patients during ICU admission (before treatment) and 5 days after treatment with Remdesivir. A group of 29 age- and gender-matched healthy controls was also studied. Cytokine levels were evaluated by multiplex immunoassay method using a fluorescence labeled cytokine panel. In comparison to cytokine levels measured at ICU admission, serum levels were reduced of IL-6 (134.75 pg/mL vs. 20.73 pg/mL, P < 0.0001), TNF-α (121.67 pg/mL vs. 10.15 pg/mL, P < 0.0001) and IFN-γ (29.69 pg/mL vs. 22.27 pg/mL, P = 0.005), whereas serum level was increased of IL-4 (8.47 pg/mL vs. 12.44 pg/mL, P = 0.002) within 5 days after Remdesivir treatment. Comparing with before treatment, Remdesivir significantly reduced the levels of inflammatory (258.98 pg/mL vs. 37.43 pg/mL, P < 0.0001), Th1-type (31.24 pg/mL vs. 24.46 pg/mL, P = 0.007), and Th17-type (36.79 pg/mL vs. 26.22 pg/mL, P < 0.0001) cytokines in critical COVID-19 patients. However, after Remdesivir treatment, the concentrations of Th2-type cytokines were significantly higher than before treatment (52.69 pg/mL vs. 37.09 pg/mL, P < 0.0001). In conclusion, Remdesivir led to decrease levels of Th1-type and Th17-type cytokines and increase Th2-type cytokines in critical COVID-19 patients 5 days after treatment.

Effect of Cytomegalovirus Reactivation on Inflammatory Status and Mortality of Older COVID-19 Patients.

Herpesviridae reactivation such as cytomegalovirus (CMV) has been described in severe COVID-19 (COronaVIrusDisease-2019). This study aimed to understand if CMV reactivation in older COVID-19 patients is associated with increased inflammation and in-hospital mortality. In an observational single-center cohort study, 156 geriatric COVID-19 patients were screened for CMV reactivation by RT-PCR. Participants underwent a comprehensive clinical investigation that included medical history, functional evaluation, laboratory tests and cytokine assays (TNF-α, IFN-α, IL-6, IL-10) at hospital admission. In 19 (12.2%) of 156 COVID-19 patients, CMV reactivation was detected. Multivariate Cox regression models showed that in-hospital mortality significantly increased among CMV positive patients younger than 87 years (HR: 9.94, 95% CI: 1.66-59.50). Other factors associated with in-hospital mortality were C-reactive protein (HR: 1.17, 95% CI: 1.05-1.30), neutrophil count (HR: 1.20, 95% CI: 1.01-1.42) and clinical frailty scale (HR:1.54, 95% CI: 1.04-2.28). In patients older than 87 years, neutrophil count (HR: 1.13, 95% CI: 1.05-1.21) and age (HR: 1.15, 95% CI: 1.01-1.31) were independently associated with in-hospital mortality. CMV reactivation was also correlated with increased IFN-α and TNF-α serum levels, but not with IL-6 and IL-10 serum changes. In conclusion, CMV reactivation was an independent risk factor for in-hospital mortality in COVID-19 patients younger than 87 years old, but not in nonagenarians.

Psychoanalysis of COVID-19 Patient Narratives: A Descriptive Study.

Background and Objectives: COVID-19 patients are a psychologically vulnerable patient group who suffer from both physical symptoms and psychological problems. The present study is a psychoanalytic investigation of COVID-19 patients utilizing Lacan's desire theory. We aimed to explore the manner in which patients' desire is presented in their lived experience narratives and sought to discover factors which directly impacted on this process. Materials and Methods: In-depth semi-structural interviews were conducted with 36 COVID-19 patients in China. During each interview, participants narrated their lived experiences of COVID-19 infection. Emotions, metaphors, and behaviors in patient narratives were collated as the main points for psychoanalysis. Results: Our findings demonstrated that the desire for being a healthy person made patients emotionally sensitive to the social environment. Anxiety and obsessive behaviors emerged in the process, which reveals their desire for that which they lack. Furthermore, public fear with respect to COVID-19 was somehow converted to psychological pressure on COVID-19 patients. Thus, these patients attempted to "de-identify" their identity as "patients". Positive responses of COVID-19 patients to the external world included admiring medical personnel, government, and country, while negative responses included interpersonal conflicts or complaints about discrimination. Following the rules of the Other, COVID-19 patients were influenced by the Other's desire in constructing their own image of a healthy person. Conclusions: This study revealed COVID-19 patients' psychological need to rid themselves of the identity of "patient" at the individual and social level. Our findings have clinical implications in helping COVID-19 patients to reshape their identity and to live a normal life.

Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings.

BACKGROUND: Lung ultrasound is a non-invasive tool available at the bedside for the assessment of critically ill patients. The objective of this study was to evaluate the usefulness of lung ultrasound in assessing the severity of SARS-CoV-2 infection in critically-ill patients in a low-income setting. METHODS: We conducted a 12-month observational study in a university hospital intensive care unit (ICU) in Mali, on patients admitted for COVID-19 as diagnosed by a positive polymerase chain reaction for SARS-CoV-2 and/or typical lung computed tomography scan findings. RESULTS: The inclusion criteria was met by 156 patients with a median age of 59 years. Almost all patients (96%) had respiratory failure at admission and many needed respiratory support (121/156, 78%). The feasibility of lung ultrasound was very good, with 1802/1872 (96%) quadrants assessed. The reproducibility was good with an intra-class correlation coefficient of elementary patterns of 0.74 (95% CI 0.65, 0.82) and a coefficient of repeatability of lung ultrasound score < 3 for an overall score of 24. Confluent B lines were the most common lesions found in patients (155/156). The overall mean ultrasound score was 23 ± 5.4, and was significantly correlated with oxygen saturation (Pearson correlation coefficient of - 0.38, p < 0.001). More than half of the patients died (86/156, 55.1%). The factors associated with mortality, as shown by multivariable analysis, were: the patients' age; number of organ failures; therapeutic anticoagulation, and lung ultrasound score. CONCLUSION: Lung ultrasound was feasible and contributed to characterize lung injury in critically-ill COVID-19 patients in a low income setting. Lung ultrasound score was associated with oxygenation impairment and mortality.

Comparison of the health literacy and the lifestyle of hospitalized Covid-19 patients admitted to the hospital

The aim of this study was to compare the health literacy and the lifestyle of Covid-19 patients admitted to Shahid Firoozabadi Hospital in Tehran's 20th district and non-covid-19 patients. For this purpose, 60 Covid 19 patients admitted to the hospital were compared to 60 patients with diseases other than Covid-19. To achieve this goal, two questionnaires were submitted to the participants;Health literacy of Iran's Urban Population and Miller-Smith Lifestyle Assessment Quesnaire. Data analysis was performed using central tendency analysis (mean), and multivariate analysis of variance. The results showed a significant difference between these two groups on the two variables of health literacy and lifestyle. The results showed that the Covid-19 patients had a higher level of health literacy than non-covid-19 patients. It is possible that covid-19 patients attempt to gather health-related information in order to accelerate the recovery process, to prevent other family members from getting infected, to reduce the side effects of medications and the disease, have led to an increase in health literacy in this group compared to non-covid-19 patients. Also, the unfavorable conditions and the long-term side-effects of Covid-19 have caused them to experience an unpleasant lifestyle compared to non-covid-19 patients. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

SIGNIFICANCE OF APPLYING INTERNAL ELEMENTS OF MENTAL ILLNESS, PATIENCE (SABR) AND RESILIENCE AMONG COVID-19 PATIENTS FROM AN ISLAMIC PERSPECTIVE

The study examined the relationship between elements of mental illness, resilience and patience (sabr) during the COVID 19 pandemic. Resilience means the ability to survive by recovering from a situation or returning to its original shape after been compressed, stretched or bent. When the term resilience is used in psychology it means a person's ability to quickly recover from changes, sickness, accidents, or adversities. Patience is the withholding of natural inclinations to avoid inappropriate occurrences, withholding from complaining and withholding oneself (body) from doing something negative, such as slapping one's own face or tearing one's clothes when something unfortunate happens. Patience has a positive relationship with resilience, which translates to not giving up easily when faced with a direct situation. This is indicated that internal factors do strongly influence an individual's resilience. [ABSTRACT FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

NEUROSCIENCE'S PRINCIPLES AND AL-QURAN RECITAL APPROACHES USED ON COVID-19 PATIENTS DURING THE COVID-19 PANDEMIC IN MALAYSIA

Al-Quran recital and neuroscience's principles contains various elements needed by humankind, such as religious, social, economic, health, medical, scientific, political and other aspects, as a guide for achieving prosperity in this life and the afterlife, reciting the al-Quran daily showers a person with continuous serenity, which is a very effective therapy for a person facing pressures in life. Recital Quran has a unique power in changing an individual's inappropriate behaviour to appropriate behaviour among COVID-19 patients during the COVID-19 Pandemic in Malaysia. The al-Quran also provides all the internal and external needs required by a person to face the various challenges among COVID-19 patients during the COVID-19 Pandemic in Malaysia. Reciting the al-Quran is not only advantageous to a person but listening to recitals can also provide serenity and blessings from Allah SWT. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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.)

Analysis of COVID-19's Effects on the Incidence of Chronic Respiratory Symptoms in KPK

Introduction: Pakistan has a high prevalence of chronic respiratory disorders, including bronchial asthma and chronic obstructive pulmonary disease (COPD). Objective(s): Finding the effect of COVID-19 on chronic respiratory disease in Pakistan is the study's key goal. Material(s) and Method(s): From February 2021 to December 2021, this cross-sectional research was carried department of pulmonology at HMC hospital Peshawar A specified To differentiate between the COVID-19 era and the period preceding it, a set of criteria in the form of a questionnaire was applied. Result(s): A total of 157 participants contributed to the data set. Patients who tested positive for COVID 19 were additionally asked about their experiences with respiratory co morbidities. More than a third of respondents mentioned COPD as a co morbidity;many also mentioned bronchial asthma, ILD, and tuberculosis (TB). Conclusion(s): COVID-19 would certainly increase chronic respiratory disorders in Khyber Pakhtunkhwa. The pandemic might increase respiratory disorders, strain health systems, and cost people impacted. Increase public health awareness and ensure chronic respiratory illness patients get proper treatment and resources to address these issues. To decrease the pandemic's effect on Khyber Pakhtunkhwa's population, early respiratory disease identification and treatment techniques are needed.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.