Empirical investigation into impact of IT adoption on supply chain agility in fast food sector in Pakistan

Information technology and supply chain agility are in vogue. The present study aims to investigate the impact of information technology (IT) on supply chain agility and its outcomes such as cost reduction and operational performance in fast food companies' chains. A total of 240 employees from fast food chains were selected as respondents. Data was collected using five-point Likert scale questionnaire developed from previous studies. The statistical results confirmed that adoption of IT is playing a vibrant role in achieving supply chain agility and supply chain agility helps to reduce cost and improves operational performance of firms. The study model provides a useful framework to examine the impact of IT adoption on supply chain agility and its outcomes. In conclusion, the firms have to focus on their supply chain management and make it efficient and agile by implementing the advanced technologies to gain operational performance. Implications have been discussed.

A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning.

Rapid identification of COVID-19 can assist in making decisions for effective treatment and epidemic prevention. The PCR-based test is expert-dependent, is time-consuming, and has limited sensitivity. By inspecting Chest R-ray (CXR) images, COVID-19, pneumonia, and other lung infections can be detected in real time. The current, state-of-the-art literature suggests that deep learning (DL) is highly advantageous in automatic disease classification utilizing the CXR images. The goal of this study is to develop models by employing DL models for identifying COVID-19 and other lung disorders more efficiently. For this study, a dataset of 18,564 CXR images with seven disease categories was created from multiple publicly available sources. Four DL architectures including the proposed CNN model and pretrained VGG-16, VGG-19, and Inception-v3 models were applied to identify healthy and six lung diseases (fibrosis, lung opacity, viral pneumonia, bacterial pneumonia, COVID-19, and tuberculosis). Accuracy, precision, recall, f1 score, area under the curve (AUC), and testing time were used to evaluate the performance of these four models. The results demonstrated that the proposed CNN model outperformed all other DL models employed for a seven-class classification with an accuracy of 93.15% and average values for precision, recall, f1-score, and AUC of 0.9343, 0.9443, 0.9386, and 0.9939. The CNN model equally performed well when other multiclass classifications including normal and COVID-19 as the common classes were considered, yielding accuracy values of 98%, 97.49%, 97.81%, 96%, and 96.75% for two, three, four, five, and six classes, respectively. The proposed model can also identify COVID-19 with shorter training and testing times compared to other transfer learning models.

An Immunoinformatics Approach to Design Novel and Potent Multi-Epitope-Based Vaccine to Target Lumpy Skin Disease

The lumpy skin disease (LSD) virus of the Poxviridae family is a serious threat that mostly affects cattle and causes significant economic loss. LSD has the potential to spread widely and its rapidly across borders. Despite the availability of information, there is still no competitive vaccine available for LSD. Therefore, the current study was conducted to develop an epitope-based LSD vaccine that is efficient, secure, and biocompatible and stimulates both innate and adaptive immune responses using immunoinformatics techniques. Initially, putative virion core proteins were manipulated;B-cell and T-cell epitopes have been predicted and connected with the help of adjuvants and linkers. Numerous bioinformatics methods, including antigenicity testing, transmembrane topology screening, allergenicity assessment, conservancy analysis, and toxicity evaluation, were employed to find superior epitopes. Based on promising vaccine candidates and immunogenic potential, the vaccine design was selected. Strong interactions between TLR4 and TLR9 and the anticipated vaccine design were revealed by molecular docking. Finally, based on the high docking score, computer simulations were performed in order to assess the stability, efficacy, and compactness of the constructed vaccine. The simulation outcomes showed that the polypeptide vaccine design was remarkably stable, with high expression, stability, immunogenic qualities, and considerable solubility. Additionally, computer-based research shows that the constructed vaccine provides adequate population coverage, making it a promising candidate for use in the design of vaccines against other viruses within the Poxviridae family and potentially other virus families as well. These outcomes suggest that the epitope-based vaccine developed in this study will be a significant candidate against LSD to control and prevent LSDV-related disorders if further investigated experimentally.

Effects of elongation longitudinaux avec decoaption osteo-articulaire and post-facilitation stretching technique on pain and functional disability in mobile users with text neck syndrome during COVID-19 pandemic: A randomized controlled trial.

BACKGROUND: Adolescent smartphone users have developed a variety of musculoskeletal conditions due to their use of smartphones. ELDOA (Elongation longitudinaux avec decoaption osteo-articulaire) is based on maximizing facial and spinal stretching by assuming specific posture for 1 minute and post facilitation stretching is also a type of muscle energy technique that is used for chronically shortened or tight muscles. This aimed to compare the effects of post-facilitation stretching technique and ELDOA on neck pain and functional disability in mobile users experiencing Text neck syndrome during COVID-19. METHODS: This single-blinded randomized control trial with a parallel group design was conducted at the Department of Physiotherapy Safi Hospital (Faisalabad, Pakistan) from September 2021 to April 2022. Forty smartphone users between the ages of 18 and 35 who had a Neck Disability Index score of >10 due to neck pain without unilateral arm symptoms participated in the study. Of the 40 participants, twenty were randomly assigned to the ELDOA group and twenty were assigned to the post facilitation stretching group, and each group received 3 weekly sessions of treatment for 6 weeks. The Numeric Pain Rating Scale (NPRS), Neck Disability Index (NDI), and Smartphone Addiction Scale (SAS) were used to measure pain intensity, functional disability, and smartphone addiction at baseline and after 18 sessions of treatment. SPSS version 22 was used to enter and analyze the data. To find comparisons between groups an independent sample t test was used, and a paired sample t test was used to find the difference within each group. RESULTS: Post-treatment values showed statistically significant difference between groups. ELDOA group showed greater improvement in pain (P < .03) with 95% CI [-1.33, -0.068] and functional disability (P < .05) with 95% CI [-4.44, 0.143] at 6th week. There was no statistically significant difference (P = .35) with 95% CI [-28.6, 10.4] between the two groups regarding smartphone addiction. The NPRS, NDI, SAS scores were significantly different within each group with P < .05. CONCLUSION: The study concluded that ELDOA method and post-facilitation stretching both were effective in treating neck pain and functional disability. However, ELDOA method was superior to post-facilitation stretching effects on neck pain and functional disability among patients with text neck syndrome.

Spontaneous hemothorax in a 10-year-old boy with COVID-19.

Spontaneous hemothorax occurs in the absence of trauma or iatrogenic causes. Etiologies of spontaneous hemothorax in children include connective tissue disease, neoplasia and coagulopathy, which is associated with thromboembolic events. We present the case of a 10-year-old chronic hemodialysis patient with spontaneous hemothorax with a concurrent COVID-19 infection.

Metal nanoparticles-assisted early diagnosis of diseases

Early diagnosis is essential for effective illness treatment, but traditional diagnostic approaches inevitably have major downsides. Recent advancements in nanoparticle-based biosensors have created new opportunities for accelerating diagnosis. High surface area, exceptional sensitivity, high specificity, and optical characteristics of metal and metal oxide nanoparticles have made it possible to detect a variety of health conditions and diseases immediately, including cancer, viral infection, biomarkers, and in-vivo imaging. Metal nanoparticles may be produced in a variety of ways, enabling the creation of innovative tools for chemical and biological sensing targets. The utilization of various metal nano-formulations, metal oxide nanoplatforms, and their composites in the early identification of illnesses is reported and summarized in this review. Additionally, the challenging corners in the use of metal oxide-based nano-scale diagnostic technologies in clinical applications are highlighted. The current work is believed to serve as a roadmap for in-depth research on inorganic nanomedicine, both in-vitro and in-vivo diagnosis of diseases and illnesses, especially pandemic infections like COVID-19.

Impact of COVID-19 on the wellbeing of micro and small entrepreneurs of rural Pakistan

According to the constitution of Pakistan, the state is responsible for the provision of necessities of life to its citizens whenever their livelihood is permanently or temporarily threatened. COVID-19 and its associated lockdowns were a series of events where amenities of life around the world were seriously endangered. Especially, hard hit were the small- and medium-sized entrepreneurs (SMEs) of rural Pakistan. To quantitatively assess the social and economic impact of COVID-19, we interviewed the local microenterprise owners in rural Pakistan from January to February 2021 and then June 2021. Mean comparison tests were estimated for pre- and post-COVID-19 periods. Results reveal that the COVID-19 pandemic has significantly and negatively affected wellbeing of micro and small entrepreneurs in the regions as the income of most of the sampled entrepreneurs significantly decreased during the pandemic. Disaggregated consumption analysis however revealed that nominal consumption of food, clothing, energy, health, and education all increased, except for communication, during the pandemic. Furthermore, the regression analysis revealed that changes in income, occupation, borrowing during COVID-19, and family type of the respondents were significant factors in mitigating the effects of COVID-19. Based on the findings, policy recommendations are also spelled out in the last section.

Impact Of Behavioral Biases On Investment Decisions Of Fund Managers: Mediating Role Of Investor's Risk Perception During Covid-19

This study examined the relationship of one of the important factors observed during the COVID situation where different behavioral biases impact the risk perceptions and investment decisions of fund managers of Pakistan. Data has been gathered from fund managers of various organizations located in Rawalpindi and Islamabad through a structured questionnaire. The snowball sampling technique has been utilized. SPSS has been utilized for the data analysis. To test hypotheses, regression analysis has been done. The mediation and moderation results have been determined through Preacher and Hayes PROCESS macro. Model 7 of PROCESS macro has been utilized as it is best suited with moderated-mediation models. The findings of the study revealed that both the behavioral biases i.e. underconfidence bias and self-attribution bias do not influence the investment decisions of fund managers directly but both indirectly influence investment decisions when mediated with investor's risk perception. Moreover, financial literacy also significantly moderates the relationship between underconfidence bias and investor's risk perceptions and also moderates the relationship between self-attribution bias and investor's risk perception during COVID-19. The study filled the gap by taking into account financial literacy as the moderator on the relationship between behavioral biases (underconfidence bias and self-attribution bias) and investor's risk perceptions. The study is a significant contribution to the behavioral finance literature. This research helps stock market regulators and policy makers to better understand the investment mechanism.

Spontaneous hemothorax in a 10-year-old boy with COVID-19. (preprint)

Spontaneous hemothorax occurs in the absence of trauma or iatrogenic causes. Etiologies of spontaneous hemothorax in children include connective tissue disease, neoplasia and coagulopathy which is associated with thromboembolic events. We present the case of a 10-year-old chronic hemodialysis patient with spontaneous hemothorax with a concurrent COVID 19 infection.

Geriatric health in Bangladesh during COVID-19: Challenges and recommendations

This reprinted chapter originally appeared in Journal of Gerontological Social Work, 2020, 63[6-7], 724-727. (The following of the original article appeared in record 2020-48218-001.) The novel coronavirus disease (COVID-19) is impacting health globally, whereas older adults are highly susceptible and more likely to have adverse health outcomes. In Bangladesh, the elderly population has been increasing over the past few decades, who often live with poor socioeconomic conditions and inadequate access to healthcare services. These disparities are likely to increase amid COVID-19, which may result in high mortality and morbidity among Bangladeshi older adults. We recommend that multifaceted interventions should be adopted for strengthening social care and health systems approach to ensure wellbeing, promote preventive measures, and facilitate access to healthcare among older adults in Bangladesh. Such multipronged measures would require policy-level commitment and collaborative efforts of health and social care providers and institutions to protect health and wellbeing among this vulnerable population during the COVID-19 pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

The Therapeutic and Prophylactic Potential of Quercetin against COVID-19: An Outlook on the Clinical Studies, Inventive Compositions, and Patent Literature.

Quercetin is a phenolic flavonol compound with established antioxidant, anti-inflammatory, and immuno-stimulant properties. Recent studies demonstrate the potential of quercetin against COVID-19. This article highlighted the prophylactic/therapeutic potential of quercetin against COVID-19 in view of its clinical studies, inventions, and patents. The literature for the subject matter was collected utilizing different databases, including PubMed, Sci-Finder, Espacenet, Patentscope, and USPTO. Clinical studies expose the potential of quercetin monotherapy, and also its combination therapy with other compounds, including zinc, vitamin C, curcumin, vitamin D3, masitinib, hydroxychloroquine, azithromycin, and ivermectin. The patent literature also examines claims that quercetin containing nutraceuticals, pharmaceuticals, and dietary supplements, alone or in combination with other drugs/compounds, including favipiravir, remdesivir, molnupiravir, navitoclax, dasatinib, disulfiram, rucaparib, tamarixin, iota-carrageenan, and various herbal extracts (aloe, poria, rosemary, and sphagnum) has potential for use against COVID-19. The literature reveals that quercetin exhibits anti-COVID-19 activity because of its inhibitory effect on the expression of the human ACE2 receptors and the enzymes of SARS-CoV-2 (MPro, PLPro, and RdRp). The USFDA designated quercetin as a "Generally Recognized as Safe" substance for use in the food and beverage industries. It is also an inexpensive and readily available compound. These facts increase the possibility and foreseeability of making novel and economical drug combinations containing quercetin to prevent/treat COVID-19. Quercetin is an acidic compound and shows metabolic interaction with some antivirals, antibiotics, and anti-inflammatory agents. Therefore, the physicochemical and metabolic drug interactions between quercetin and the combined drugs/compounds must be better understood before developing new compositions.

Epidemiology, clinical ramifications, and cellular pathogenesis of COVID-19 mRNA-vaccination-induced adverse cardiovascular outcomes: A state-of-the-heart review.

The coronavirus disease 2019 (COVID-19) has overwhelming healthcare systems globally. To date, a myriad of therapeutic regimens has been employed in an attempt to curb the ramifications of a severe COVID-19 infection. Amidst the ongoing pandemic, the advent and efficacious uptake of COVID-19 vaccination has significantly reduced disease-related hospitalizations and mortality. Nevertheless, many side-effects are being reported after COVID-19 vaccinations and myocarditis is the most commonly reported sequelae post vaccination. Majority of these diseases are associated with COVID-19 mRNA vaccines. Various studies have established a temporal relationship between these complications, yet the causality and the underlying pathogenesis remain hypothetical. In this review, we aim to critically appraise the available literature regarding the cardiovascular side effects of the various mRNA vaccines and the associated pathophysiology.

Identification of phytochemical inhibitors of SARS-CoV-2 protease 3CLpro from selected medicinal plants as per molecular docking, bond energies and amino acid binding energies.

Recent worldwide outbreak of SARS-COV-2 pandemic has increased the thirst to discover and introduce antiviral drugs to combat it. The bioactive compounds from plant sources, especially terpenoid have protease inhibition activities so these may be much effective for the control of viral epidemics and may reduce the burden on health care system worldwide. Present study aims the use of terpenoid from selected plant source through bioinformatics tools for the inhibition of SARS-COV-2. This study is based on descriptive analysis. The Protein Data Bank and PubChem database were used for the analysis of SARS-COV-2 protease and plant source terpenoids. Molecular docking by using molegro virtual docker (MVD) software was carried out. The findings of study are based on the inhibitory actions of different plant sourced terpenoid against SARS-COV-2. As per the available resources and complementary analysis these phytochemicals have capacity to inhibit 3CLpro protease. The study reports that (3,3-dimethylally) isoflavone (Glycine max), licoleafol (Glycyrrhiza uralensis), myricitrin (Myrica cerifera), thymoquinone (Nigella sativa), bilobalide, ginkgolide A (Ginkgo biloba), Salvinorin A (Salvia divinorum), citral (Backhousia citriodora) and prephenazine (drug) showed high activity against SARS-COV-2 protease 3CLpro. The drug like and ADMET properties revealed that these compounds can safely be used as drugs. Cross structural analysis by using bioinformatics study concludes that these plant source terpenoid compounds can be effectively used as antiprotease drugs for SARS-COV-2 in future.

Multidimensional impacts of coronavirus pandemic in adolescents in Pakistan: A cross sectional research.

BACKGROUND: COVID-19 has posed unique challenges for adolescents in different dimensions of their life including education, home and social life, mental and physical health. Whether the impact is positive or negative, its significance on the overall shaping of adolescents' lives cannot be overlooked. The aim of the present study was to explore impacts of the pandemic on the adolescents' everyday lives in Pakistan. METHODS: Following ethical approval, this cross-sectional study was conducted through September to December, 2020 via an online survey on 842 adolescents with the mean age of 17.14 ± SD 1.48. Socio-demographic data and Epidemic Pandemic Impact Inventory-Adolescent Adaptation (EPII-A) was used to assess the multi-dimensional effects of the pandemic. RESULTS: Among the 842 participants, 84% were girls. Education emerged as the most negatively affected Pandemic domain (41.6-64.3%). Most of the adolescents (62.0-65.8%) had reported changes in responsibilities at home including increased time spent in helping family members. Besides, increase in workload of participants and their parents was prominent (41.8% & 47.6%). Social activities were mostly halted for approximately half (41-51%) of the participants. Increased screen time, decreased physical activity and sedentary lifestyle were reported by 52.7%, 46.3% and 40.7% respectively. 22.2-62.4% of the adolescents had a direct experience with quarantine, while 15.7% experienced death of a close friend or relative. Positive changes in their lives were endorsed by 30.5-62.4% respondents. Being male and older adolescents had significant association with negative impact across most domains (p<0.05). CONCLUSIONS: Results have shown that COVID-19 exert significant multidimensional impacts on the physical, psycho-social, and home related domains of adolescents that are certainly more than what the previous researches has suggested.

In silico screening of phytochemicals as potential inhibitors of sars-cov-2 mpro and human ace-2

Background and Objective: An enzyme that inhibits the receptor could make it more difficult for coronavirus to reach cells. The key protease necessary for coronavirus proteolytic maturation is the recognized coronavirus 3-chymotrypsin-like protease 3CLpro, also known as Mpro. This Mpro is needed for immune control and the cleavage of the polyproteins pp1a and pp1ab, making it a promising target for anti-COVID-19 drugs. As a result, inhibiting the Mpro enzyme inhibits viral maturation. Bioactive constituents obtained from some selected indigenous plants of India, which have been reported to have antiviral potential, were subjected to virtual screening against ACE-2 and Mpro in the current study. Materials and Methods: Cresset's Flare 4.0 was used to establish the 3-D structure of all the compounds. Complete optimizations of these constructed structures were carried out. While performing the minimization, the spin state of the wave function was set to the singlet and standard SCF convergence was used for optimization, all other parameters were left at their default values. The Protein Data Bank (https://www.rcsb.org) was used to download the 3-D structures of Mpro from COVID-19 (PDB ID 6LU7) and ACE-2 receptor from Human (PDB ID 1R4L). Results: The findings show that these phytochemicals can bind to ACE-2 and Mpro more effectively as compared to reference compounds and act as inhibitors. Conclusion: The findings of virtual screening of these bioactive constituents revealed that most of them are more active than the reference compounds. Therefore, they could be used to produce antiviral drugs against Coronavirus in the future.

Psychosocial Challenges in Palliative Care: Bridging the Gaps Using Digital Health

Psychosocial health is a major palliative care concern globally. Patients and caregivers engaged in palliative care may experience deteriorated mental and social health conditions. Global evidence informs a high burden of depression, anxiety, psychological distress and other mental health problems among the palliative care populations. Those challenges aggravate the preexisting palliative care issues, such as lack of access and suboptimal quality of care. Palliative caregiving, both in the institutional and community settings, should be strengthened, incorporating psychosocial support for the patients and their caregivers. The recent advancements in digital health technologies have shown promising impacts in facilitating health communication, decision-making and delivering psychosocial interventions using digital devices and platforms. Adopting evidence-based interventions can help the users to access mental health resources and communicate with each other to promote shared decision-making and management of health problems. Health-care organisations and systems may explore opportunities to advance psychosocial care using digital technologies. Leveraging advanced technologies in palliative caregiving may require multifaceted research exploring potential barriers and opportunities at the user, institutional and systems levels. Nonetheless, palliative care policies and health systems measures should be strengthened to develop and implement digital support systems that may improve psychosocial health and overall palliative care outcome.

Exploring the Impact of Linguistic Signals Transmission on Patients' Health Consultation Choice: Web Mining of Online Reviews.

BACKGROUND: Patients face difficulties identifying appropriate physicians owing to the sizeable quantity and uneven quality of information in physician rating websites. Therefore, an increasing dependence of consumers on online platforms as a source of information for decision-making has given rise to the need for further research into the quality of information in the form of online physician reviews (OPRs). METHODS: Drawing on the signaling theory, this study develops a theoretical model to examine how linguistic signals (affective signals and informative signals) in physician rating websites affect consumers' decision making. The hypotheses are tested using 5521 physicians' six-month data drawn from two leading health rating platforms in the U.S (i.e., Healthgrades.com and Vitals.com) during the COVID-19 pandemic. A sentic computing-based sentiment analysis framework is used to implicitly analyze patients' opinions regarding their treatment choice. RESULTS: The results indicate that negative sentiment, review readability, review depth, review spelling, and information helpfulness play a significant role in inducing patients' decision-making. The influence of negative sentiment, review depth on patients' treatment choice was indirectly mediated by information helpfulness. CONCLUSIONS: This paper is a first step toward the understanding of the linguistic characteristics of information relating to the patient experience, particularly the emerging field of online health behavior and signaling theory. It is also the first effort to our knowledge that employs sentic computing-based sentiment analysis in this context and provides implications for practice.

Characteristics of Patients Presenting with COVID-19 from Balochistan Province and Lessons Learnt.

OBJECTIVE: With the spread of COVID-19 in Pakistan, Balochistan province with its unique problems of lowest literacy rates in the country, limited resources and a flail health care system is reporting an increasing number of cases of COVID-19. This study discusses the epidemiological and clinical characteristics of COVID-19 patients from the Balochistan province. STUDY DESIGN: Situation report Place and Duration of Study: The study was conducted in Balochistan province of Pakistan. The completion date for the study was April 30, 2020. METHODOLOGY: The data was retrieved from the daily situation report from the Health Department, Government of Balochistan. Descriptive statistics (proportions, mean ± SD) were used for data analysis. RESULTS: A total of 1136 patients were confirmed to have COVID-19. The highest rate was found in cases with ages >60 years. About 78% of COVID-19 cases were males and majority of the cases (78.56%)were asymptomatic. Out of these, 183 recovered and 16 died. The case fatality rate was 1.3%. CONCLUSION: COVID-19 cases and case fatality ratio is low in Balochistan. Whether this is due to inability to carry out more tests is still to be ascertained. Males and elderly are more affected and fatalities were higher in cases with co-morbid conditions. Balochistan having a weak healthcare system and with the majority of cases being asymptomatic, needs more stringent actions to practice social distancing to avoid further spread of COVID-19.

Qualité de vie des lupiques au cours de la pandémie liée au Sars Cov2 : facteurs influents

Le lupus érythémateux systémique (LES) est une pathologie chronique caractérisée par un polymorphisme clinique susceptible d'altérer la qualité de vie (QDV) des patients. Cette QDV pourrait être encore plus influencée pendant la pandémie liée au Sars cov2. L'objectif de notre étude était d'évaluer la QDV, pendant la pandémie liée au Sars Cov2, des patients suivis pour un LES et d'identifier les facteurs sociodémographiques et cliniques qui l'influençaient. Étude transversale, descriptive et comparative incluant les patients suivis pour un LES durant la période allant de janvier 2010 à décembre 2020. Le diagnostic de LES a été retenu selon les critères de classification de l'ACR/EULAR 2019. Chaque patient a répondu au questionnaire générique évaluant la QDV : Short Form Health Survey : SF-36 via un entretien face to face ou téléphonique. Le recueil des données cliniques a été complété à partir des dossiers médicaux. Dix-sept patients ont été inclus. L'âge moyen au moment de l'entretien était de 39,06 ans (20 et 63). Le genre ratio (H/F) était de 0,06. Une patiente a développé une infection au virus Sars Cov2, de forme mineure, confirmée par réaction de polymérisation en chaîne. Le SF36 moyen était de 47,67 (22,89–47,89). Les moyennes et extrêmes des différents domaines du SF-36 étaient les suivantes : activité physique (61,47) (25–100), limitations liées à la santé physique (25,00) (0–100), douleur physique (62,794) (0–100), santé générale (47,65) (10–90), vitalité (38,53) (10–75), bien–être social (49,118) (0–87,5), limitations liées à la santé mentale (34,965) (0–100), santé mentale (41,94) (0–110). Le composant physique moyen était de 49,22 (25–93,75). Le composant mental moyen était de 41,13 (13,37–65,20). Ni le genre ni l'âge au moment de l'entretien n'influençaient la QDV de nos patients. Parmi les conditions socio-économiques étudiées, le faible revenu mensuel influençait positivement l'activité physique (p = 0,03). Les lupiques célibataires avaient une moindre douleur physique (p = 0,035) et des limitations liées à la santé mentale moins importantes (p = 0,019). L'impression personnelle du degré d'activité de la maladie était négativement corrélée au SF-36 (r = −0,539 ;p = 0,026). Concernant les atteintes systémiques cumulées, seule l'atteinte cutanée influençait négativement le domaine de la santé mentale (p = 0,038). Le domaine de la douleur physique était plus altéré chez les patients traités par corticothérapie au long cours (p = 0,036). Le reste des traitements prescrits au moment de l'entretien n'influençaient pas la QDV de nos sujets lupiques. L'infection par le Sars Cov2 n'influençait pas la QDV de nos patients. Le composant mental était plus altéré que le composant physique chez nos patients lupiques. Ceci pourrait être expliqué par les effets psychologiques négatifs de la pandémie liée au Sars Cov2. L'atteinte cutanée altérait la santé mentale, domaine du composant mental du SF-36. Ce résultat plaiderait en faveur des effets néfastes, sur l'image de soi, des lésions cutanées. L'absence d'influence de l'infection par le Sars Cov2 sur la QDV de nos patients pourrait être biaisée par le faible effectif de l'échantillon. (French) [ABSTRACT FROM AUTHOR] Copyright of Revue de Médecine Interne is the property of Elsevier B.V. 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.)