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2.
Journal of Family Medicine and Primary Care ; 11(5):1834-1841, 2022.
Article in English | GIM | ID: covidwho-1875940

ABSTRACT

Background: About 10% of patients with type 2 diabetes mellitus at the time of diagnosis have more than one risk factor for developing foot ulceration, and it increases to 15% in a lifetime. The risk of development of Diabetic foot ulcers/gangrene can be prevented by the patient's self-foot care practice at home. The present study aimed to determine the prevalence of awareness of self-foot care practice among diabetic patients in a rural setting. The study also aimed to identify the factors preventing dry or wet diabetic gangrene development and subsequent amputation.

3.
2nd IEEE International Conference on Technology, Engineering, Management for Societal Impact using Marketing, Entrepreneurship and Talent, TEMSMET 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1874352

ABSTRACT

With advancements in technology, human biometrics, especially face recognition, has witnessed a tremendous increase in usage, prominently in the field of security. Face recognition proves to be a convenient, coherent, and efficient way to identify a person uniquely. Face recognition systems are trained generally on human faces sans masks. With the ubiquitous use of face masks due to the ongoing COVID-19 pandemic, face recognition becomes a daunting challenge. In this paper, the deep learning architectures, namely MobileNetV2, DenseNet201, ResNet50V2, and VGG16 with the ArcFace loss function, were trained on the newly created dataset called "MaFaR", which consists of a mixture of masked and unmasked images of 75 distinct individuals, and ensemble learning techniques have been used to improve the performance, achieving an accuracy 93.65%. © 2021 IEEE.

4.
Endocrine Practice ; 27(6):S60-S61, 2021.
Article in English | EMBASE | ID: covidwho-1859541

ABSTRACT

Objective: Continuity of care has demonstrated positive outcomes from the advanced countries with insurance care model. There is limited evidence for the benefits from developing countries, in limited resource setting where the patients directly pay from the pocket for the diabetes care. Methods: We retrospectively analysed the relationship between the continuity of care and the glycemic control in patients who atleast had a biannual visit to our comprehensive care centre from 2016 to 2020 (n=1160). Results: The mean number of visits in the year 2016, 2017, 2018, 2019 and 2020 were 3.6 (±1.6, max 11, 95% CI 3.38 to 3.98), 5 (±2.5, max 16, 95% CI 4.5 to 5.5), 4.8 (±2.1, max 12, 95% CI 4.4 to 5.2), 4.7 (±2.2, max 14, 95% CI 4.3 to 5.1), 3.4 (±1.6, max 12, 95% CI 3 to 3.7) (p< 0.0001), respectively. The mean number of visits cumulatively for the continuous five years for each patient was 22 (±7.9, min 11, max 56, 95% CI 20 to 23). The mean number of HbA1c readings done cumulatively for the continuous five years for each patient was 22 (±3.8, min 1, max 17, 95% CI 3.3 to 4.4). The mean interval (days) between the two consecutive visits was 85 (±26, min 33, max 155, 95% CI 81 to 90). The mean number of HbA1c tests were 3.8 (±2.8, min 1, max 17, 95% CI 3.3 to 4.4). The mean number of visits were 4.3 (±1.6, min 2.2, max 11, 95% CI 4 to 4.6). There was a non-significant positive correlation between the mean number of visits and the mean HbA1c readings (Pearson r 0.113, p= 0.22). The baseline value of HbA1c (%) was 8.0 (±1.5, min 5.3, max 13.3, 95% CI 7.7 to 8.3), which reduced by 0.7 when compared for the minimum value of HbA1c achieved at any point of time as mean 7.2 (±7.2, min 4.8, max 10.9, 95% CI 7 to 7.5), (p< 0.0001). There were 360 patients who had atleast one visit in 3 months and achieved HbA1c < 7, as compared to 250 patients with more than 3 months interval for consecutive visits and with HbA1c ≥ 7 (p=0.0404, OR 1.2 95% CI 1.01 to 1.62). COVID-19 induced lockdown led to the decrease in the patient visits in the year 2020. There were 55 all cause hospitalizations. Discussion/Conclusion: The results of our study demonstrate that comprehensive diabetes care have a potential positive implication, even in out-of-pocket ecosystem, which can drive the demand for a continuous follow up visits. We attribute long continuity of care for the smaller number of hospitalizations.

5.
Lung India ; 39(SUPPL 1):S152-S153, 2022.
Article in English | EMBASE | ID: covidwho-1857702

ABSTRACT

Background: Patients with Coronavirus disease 2019 (COVID-19), caused by SARS-COV2 infection, can develop a potentially fatal rapid-onset pneumonia. In fact, mortality in patients hospitalized with COVID-19 can be as high as 20.3-27.9%.This study aimed to determine whether hyponatremia and hypernatremia are associated with a poor prognosis in patients admitted with COVID-19. Methods: Retrospective study conducted in Department of Respiratory Medicine, KIMS hospital and Research center, Bangalore , with a sample size of 1000 COVID 19 patients. Results: According to the above study, dysnatremia was found more in Category-C COVID19 patients, than cat A and Cat B, with 48.1% of patients in Cat C having dysnatremia, 29.9 % of Cat B and 24.3%of Cat C. In dysnatremia, hyponatremia was found was predominant among patients of Cat C COVID 19. Conclusion: Patients admitted with COVID 19, have risk of dysnatremia with increasing severity of the disease and it has significant impact on the morbidity and outcome of the patients.

6.
Lung India ; 39(SUPPL 1):S153, 2022.
Article in English | EMBASE | ID: covidwho-1857701

ABSTRACT

Background: Post COVID-19 symptoms and diseases appeared on many survivors from COVID-19 which are similar to that of the post-severe acute respiratory syndrome (SARS) fatigue. Hence, the study aims to investigate and characterize the manifestations which appear after eradication of the coronavirus infection and its relation to disease severity. Methods: About 428 COVID 19 survivors were included in the study, they were questioned and data was collected regarding their post covid manifestations and presence of any comorbidities. Results: Amongst the 428 patients 15% of them had post COVID symptoms and fatigue and cough were predominantly seen. Conclusion: All subjects recovered from COVID-19 should undergo long-term monitoring for evaluation and treatment of symptoms and conditions that might be precipitated with the new coronavirus infection.

7.
Lung India ; 39(SUPPL 1):S140, 2022.
Article in English | EMBASE | ID: covidwho-1857660

ABSTRACT

Background: Pulmonary Mucormycosis was rare pulmonary fungal disease ,which was difficult to diagnose early and lack effective treatment but during COVID-19 pandemic the testing modalities have become handy , usually it used to occur in immune compromised patients , present days post Covid pulmonary mucor has become common. Case Study: A case of 60yrs old male patient , hypertensive, post Covid presented with cough associated with black coloured sputum, also with streaky haemoptysis and sob on exertion ,CT chest revealed left upper lobe thick walled cavity with reverse halo sign with lower septated cavity , with post covid lung fibrosis. Discussion: Pulmonary Mucormycosis may develop by inhalation of spores or by hematogenous or lymphatic spread, mostly seen in immune compromised patient, the sequelae include angioinvasion and direct tissue injury it may cause severe morbidity and mortality sputum and BAL cultures and radiological investigations are the crucial modalities for diagnosis sputum and BAL cytology may be inconclusive however early diagnosis will prevent the patient from life threatening complications and at times alternative drugs in unavoidable situations can prevent patient from life threatening complications. Conclusion: Different scenarios may be challenging.

8.
Lung India ; 39(SUPPL 1):S137, 2022.
Article in English | EMBASE | ID: covidwho-1857381

ABSTRACT

Background: COVID-19 pandemic has affected majorly the lungs besides many other organs. Many of the patients later developed pulmonary-fibrosis. This study was planned to know the determinants resulting in pulmonary-fibrosis in post COVID survivors. Methods: Hospital-based, cross-sectional study done over a period of one year. A pre-designed proforma used to collect necessary information and follow-up HRCT and other investigations were evaluated. Results: Out of 87 patients 41.3% (n=36) developed pulmonary fibrosis among which majority i.e., 66.6% (n=24) were males. Out of 87 patient 49.42% (n=43) belonged to the age group of 51-70 years among which 48.83% (n=21) developed fibrosis. Infection was more common in urban 63.2% (n=55), middle-class family 55.17% (n=48), non-smoker 65.51% (n=57), homemaker and office worker 49.4% (n=43). Out of 87 patients 57.47% (n=50) had different comorbidities out of which 52% (n=26) developed pulmonary fibrosis. The proportion of fibrosis among diabetic patients was 67.7% (n=21, p=0.036). A total of 27 patients were treated in ICU, out of which 66.67% (n=18) developed pulmonary fibrosis. About 57.14% (n=28) of the patient with leucocytosis developed pulmonary fibrosis. Pulmonary fibrosis developed more in which steroid are not used 9/19, 47% (n=9) compared to those where was steroid used 27/68, 39.7% (n=27). Majority of the patient i.e.,>90% fibrotic patient had raised inflammatory marker. Higher CT severity score and consolidation are predictive for post covid fibrosis Conclusion: Post-COVID-19 pulmonary-fibrosis was observed in about half of the survivors. This study emphasized the relation of pulmonary-fibrosis with many factors like age, comorbidities, ICU-admission, steroid usage, inflammatory-markers and secondary-infections.

9.
Lung India ; 39(SUPPL 1):S1-S2, 2022.
Article in English | EMBASE | ID: covidwho-1857225

ABSTRACT

Background: In December of 2019 a new corona virus was identified by WHO, secondary to an unfamiliar pneumonia in Wuhan, China, which was initially named 2019 Novel Corona Virus (2019-nCoV), and later named Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2). Diagnosis was made on the basis of RT-PCR test. Methods: With use of RT-PCR as the reference standard, the performance of chest CT in the diagnosis of COVID-19 was assessed. Findings of the investigations such as HRCT, D-dimer, Sr. Ferritin, CRP, and LDH are recorded and analysed. Results: Total patients included in the study are 217 persons of which 57.89% are males, 42.10% are females. The mean age was 45.14-years. CT severity score was found to be positively correlated with increased D-dimer, LDH and S. ferritin levels. It was found that with increasing HRCT chest severity, there was increase in inflammatory marker parameters. Conclusion: Our data suggest the potential role of D-dimer, S. Ferritin and LDH for predicting severity of disease and CT scan. CT score is highly correlated to laboratory findings and might be beneficial to speed up diagnostic workup in symptomatic patients and also play a vital role in predicting the severity in places where HRCT scan is not available.

10.
Lung India ; 39(SUPPL 1):S147-S148, 2022.
Article in English | EMBASE | ID: covidwho-1856947

ABSTRACT

Background: Novel coronavirus disease caused by SARSCoV- 2, primarily manifest as an acute respiratory illness;however, it can also affect multiple organs, such as kidneys, heart, digestive tract, hematological and the nervous system. Acute kidney injury (AKI) has been reported in up to 25% of critically-ill patients with SARS-CoV-2 infection, especially in those with underlying comorbidities. Aim of the Study: To study the incidence of Acute Kidney Injury in hospitalized COVID-19 patients. Methods: This is a retrospective study conducted in Dept of Respiratory Medicine, KIMS Hospital and Research Centre, Bengaluru. A total of 1000 COVID patients were taken in the order of their admission to the hospital from Jan -May 2021. Blood urea and serum creatinine levels at the time of admission was collected. Ethical clearance was obtained from the institutional ethical committee. Results: Statistically significant correlation was found between the incidence of AKI and the COVID-19 disease severity and mortality. Correlation by Pearson 2 tailed shows a positive correlation with a value of 0.713. Patients with renal involvement had higher overall mortality compared with patients without renal involvement. Adverse short-term outcomes of renal involvement were associated with severity of COVID-19 pneumonia Conclusion: AKI could be used as a clinical characteristic in severity classification and risk stratification. Further investigation of the underlying mechanism of renal disease in COVID-19 would be needed to clarify possible therapeutic targets.

11.
Lung India ; 39(SUPPL 1):S147, 2022.
Article in English | EMBASE | ID: covidwho-1856946

ABSTRACT

Background: COVID-19 caused by SARS-CoV-2 has led to an ongoing pandemic with massive global health and socioeconomic consequences. Monocytes are recruited under pathological conditions like viral infections to the affected tissue to defend the organism against invading pathogens and to aid in efficient resolution of inflammation. Some studies had suggested a significant decrease of monocytes in COVID-19 patients with severe or critical disease whereas some others suggested monocytosis. Aim of the Study: To find the association of Monocyte count alterations with the severity of COVID-19. Methods: This is a retrospective study conducted in Dept of Respiratory Medicine, KIMS Hospital and Research Centre, Bengaluru. A total of 1000 COVID patients were taken in the order of their admission from Jan-May 2021. Monocyte count in the blood at the time of admission was collected. Ethical clearance was obtained from the institutional ethical committee. Results: Higher monocyte count was seen in the younger age group, particularly in Category B COVID-19 patients. Statistically significant association was found between low monocyte count and the disease severity and mortality in patients with COVID-19. Conclusion: It is inferred that monocytes proliferate to eliminate the viruses in mild patients, while the loss of monocytes in the critical patients suggest that innate immunity might be suppressed to a certain extent in critical COVID-19. Deviation in monocytes count from the normal is a valuable discriminator for diagnosis of COVID-19 and suitable anticipator of overall spectrum of adverse consequences.

12.
International Journal of Early Childhood Special Education ; 14(2):1527-1534, 2022.
Article in English | Web of Science | ID: covidwho-1856284

ABSTRACT

Coronavirus disease is a newly emerging respiratory disease caused by a member of the coronavirus family. Among all the preventive measures, the vaccine shows a high rate of protection against COVID. The aim of the study is to assess the perception about COVID vaccination status among dental students in chennai. The study was conducted through an online survey link. This study revealed that more than half of the respondents have received within 3 months of vaccination. The study showed majority of the dental students are not hesitant to receive the vaccine. The dental students also consider that vaccines are the only protective measures against COVID. This study shows dental students have positive perception about COVID vaccination.

13.
2022 IEEE Delhi Section Conference, DELCON 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1846077

ABSTRACT

Since COVID 19, there have been significant advancements in the field of teaching and learning. Academic institutions are going digital to provide their students more resources. Due to technology, students now have more alternatives to study and improve skills at their own pace. In terms of assessments, there has been a shift toward online tests. The absence of a physical invigilator is perhaps the most significant impediment in online mode. Henceforth, online proctoring services are becoming more popular, and AI-powered proctoring solutions are becoming demanding. In this project, we describe a strategy for avoiding the physical presence of a proctor during the test by developing a multi-modal system. We captured video using a webcam along active window capture. The face of the test taker is identified and analyzed to forecast his emotions. To identify his head pose, his feature points are identified. Furthermore, aspects including a phone, a book, or the presence of another person are detected. This combination of models creates an intelligent rule-based inference system which is capable of determining if any malpractice took place during the examination. © 2022 IEEE.

14.
Rutgers Business Review ; 7(1):61-76, 2022.
Article in English | Scopus | ID: covidwho-1842909

ABSTRACT

Uniqlo’s ability to attain a market leadership position in casual clothing during the Covid-19 pandemic is a challenging endeavor. To understand the secret recipe of this success, a practitioner-oriented investigation involving examining relevant published articles in public domain and the company’s history of seven decades was undertaken. The global value chain analysis of the fast fashion industry and competitive dynamics involving the two closest competitors was carried out. The managerial implications highlight the importance of importing ideas from beyond one's industry and home country boundary, value innovation, distancing from closest competitors, and implementing an open, differentiated and circular business model. © 2022, Rutgers Business School. All rights reserved.

15.
J Biomol Struct Dyn ; : 1-8, 2022 Apr 04.
Article in English | MEDLINE | ID: covidwho-1839741

ABSTRACT

The present pandemic disease COVID-19 demands an urgent need for more efficient antiviral drugs against SARS-CoV-2. Computational drug designing and discovery enable us to explore ethnomedicinal plants as a source of various lead molecules that can be used against present and future pathogens. Adiantum latifolium Lam., a common fern, is resistant to pathogens mainly due to the presence of various phytochemicals having antimicrobial properties. In our previous study, 3ß-acetoxy-21α-H-hop-22(29)ene, a terpenoid has been characterized from the methanol extract of leaves of A. latifolium. The manuscript evaluates the antiviral potency of the compound against SARS-CoV-2 through molecular docking method. Proteins essential for SARS-CoV-2 multiplication in host cells are the target sites. The study revealed strong binding affinity of the compound for all the ten proteins selected, including seven nonstructural proteins, two structural proteins and one receptor protein, with a binding energy of -4.67 to -8.76 kcal/mol. MDS and MMPBSA analysis of the best ranked complex further confirmed the results. The multitargeted compound can be considered as a natural lead molecule in drug designing against COVID-19, but requires wet-lab experimentation and clinical trials.Communicated by Ramaswamy H. Sarma.

16.
2022 International Mobile and Embedded Technology Conference, MECON 2022 ; : 297-301, 2022.
Article in English | Scopus | ID: covidwho-1840282

ABSTRACT

The burial of bodies became a trend in the cause of ongoing pending (Novel Coronavirus), more than50 a million people all over the globe are adversely affected, hence the analysis and forecasting techniques are necessary to regain the human livelihood. The enlargement of technologies such as Artificial Intelligence, Machine Learning, Deep Learning, are en route into all the living aspects. Hence by using AI, ML, DL, Advanced technologies and existing models ARIMA, PROPHET, SVM, RNN, Faster Mask R-CNN, RESNET-50, and other techniques such as logarithmic scaling and exponential smoothing so on, the spread of VIRUS, the effect of countries economic growth, confirmed cases, fatality rate, recoveries are predicted to overcome the life threat due to SARS. Such that different predictive techniques are used to forecast. The advancement in the past algorithms to acquire accurate results are been introduced and described. © 2022 IEEE.

17.
2022 International Mobile and Embedded Technology Conference, MECON 2022 ; : 230-235, 2022.
Article in English | Scopus | ID: covidwho-1840281

ABSTRACT

The COVID-19 pandemic also known as the Corona Virus worldwide epidemic is contemplate as the transcendent critical global health disaster in the world. Pneumonia, acute respiratory syndrome, and even death are the severity of this virus. We are living in a situation where Covid infection cases can be increased unexpectedly anytime if we do not follow the advisory of World Health organization (WHO). The majority of people who are infected with the virus has experienced mild to moderate fever. This virus spread rapidly in public places such as hospitals, metro station, railway station, malls etc. In such crowded areas, the chances of virus spread is high and we can prevent this by social distancing and measuring the temperature of the every individual without using human interference. In our idea we have introduced a fully automatic temperature detection system which would energized by piezoelectric generator. We have also implemented an automatic door opening system in which the door of a particular place will remain closed if temperature is above the preset value. The opening and closing of door is done through the piezoelectric generated power. © 2022 IEEE.

18.
Journal of Drug Delivery and Therapeutics ; 11(6-s):92-99, 2021.
Article in English | CAB Abstracts | ID: covidwho-1836314

ABSTRACT

Background: A Corona virus pandemic now has had a huge impact on quality of life all around the world. People's mental health has been affected by quarantine. The economic delays could have long term impacts on the psychology of students as they are more likely to be graduated later than they have expected. The number of factors contributed to gravitate the psychological disturbances including online education, financial worries and academic pressure. Aims and Objectives: This Study was to determine the level of Depression, Anxiety and Stress among Students during COVID-19 Pandemic. Furthermore, to see if there's a correlation between demographic profile and the DASS-21. Materials and methods: A cross-sectional survey was conducted among the healthcare students using DASS-21 which included a conventional DASS questionnaire along with demographic characteristics. A Google form link was shared through social media-WhatsApp and E-mail and data was collected and analyzed using excel sheet to examine the levels of depression, anxiety, and stress among students.

19.
2021 International Conference on Computational Performance Evaluation, ComPE 2021 ; : 832-835, 2021.
Article in English | Scopus | ID: covidwho-1831752

ABSTRACT

Due to the effect of Covid-19 the pattern of energy consumption of Uttarakhand State has affected during lockdown. Since the inception of Covid-19 in Uttarakhand there has drastic change in electricity consumption in thirteen districts of the State including Dehradun which is also a Smart City. It has reported that there is decrease in electricity consumption in the year 2020-21. In this study the long-term load forecasting using Artificial Neural Network is used as per the information released by Uttarakhand Electricity Regulatory Commission (UERC) in their tariff order for Financial Year 2021-22. There is eleven million population in Uttarakhand at present. During economic shutdown in Uttarakhand State the power utilities has faced the challenge of electricity generation, transmission, and distribution. It has been observed that during Covid-19 there is 939.97 million units generated energy loss has faced by power utilities companies in Uttarakhand. Uttarakhand is a emerging State where lots of new Technologies are in pipeline. In this Study the forecasted results is for nine years (2022-2030) which represents that there will be sudden rise in electricity consumption after 2025 to 2030 in Uttarakhand due to the intervention of electric vehicles. In Uttarakhand Dehradun is also a smart city where lots of IoT devices have been deployed across city which are are also consuming electricity. This study has reduced the forecast error upto 7.17 % so that there would be minimum revenue loss in future to the power utilities in Uttarakhand. © 2021 IEEE.

20.
International Journal of Current Pharmaceutical Research ; 14(2):5-10, 2022.
Article in English | EMBASE | ID: covidwho-1822678

ABSTRACT

Covid Virus particles engage with host cells via the ACE-2 and GRP78 receptors, transferring the genome particle to the host cell and transforming it into a replicating machine. RdRP is a key protein in the replication mechanism of all RNA viruses. 3CLpro is a cleavage enzyme that breaks down polyproteins into non-structural polyproteins. All four elements of the Covid viral particle are required for its propagation and action, and blocking any one of them can shut down the entire system. EGCG and Theaflavins are flavonoids that block virus particles from attaching to the host cell's ACE-2 and GRP78 receptors, preventing the genome from being transferred into the cell. EGCG binds to 3CLpro with a molecular docking value of 11.7, while TF3 has a docking score of 10.574, indicating that it prevents host cell contact. TF binds to RdRP with a binding energy of 9.11 kcal/mol, implying that RdRP activities are interfered with. Furthermore, these flavonoids have anti-inflammatory properties and reduce the action of cytokines, which can cause serious respiratory difficulties. Except these two there are many others flavonoids which possess anti-inflammatory and anti-viral properties. All of these data suggest that flavonoids could be a useful treatment for SARS-CoV19;however, the issue of stability and bioavailability arises because it is unstable at lungs pH.

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