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1.
Journal, Indian Academy of Clinical Medicine ; JOUR:112-117, 23(3-4).
Article in English | EMBASE | ID: covidwho-2102164

ABSTRACT

Introduction: The emergence of newer mutated variants of COVID-19 virus has posed a significant challenge. The present study is aimed at investigating the clinical characteristics of COVID-19 and the parameters that may serve as predictors of severity and mortality related to COVID-19 in an Indian setting. Method(s): The observation study was carried-out by using the data of COVID-19 patients admitted between July 2020 to June 2021 at JLN Medical College, Ajmer, Rajasthan, India. The demographic and clinical data of clinically significant parameters were collected. The statistical difference between recovery and death and between patients who required long-term oxygen and those who did not was evaluated for various demographic and clinical variables. Chi-square and Fisher exact test were performed for categorical variables and t-test for continuous variables. Regression analyses were also carried-out for different variables with respect to survival and death, and for oxygen dependency. Result(s): Variables namely age, duration of hospital stay, overweight, breathlessness, O2 mask therapy, BiPAP support, and ventilator usage were found to be significantly different between recovered and expired subjects (P 0.00). The study has noted hypertension (25.06%) and diabetes (23.73%) as the common comorbidities noted in COVID patients, followed by coronary artery disease (2.98%) and asthma. The study has validated the role of oxygen saturation and requirement of oxygen in predicting mortality among COVID-19 patients. The study identified age as a significant predictor of mortality, obesity as a risk factor in COVID-19 patients, gender as a factor influencing the requirement of oxygen, and fever as an independent factor related to oxygen therapy. Bilevel positive airway pressure was given to majority of expired patients (83%) compared to 10% in recovered patients. Conclusion(s): Variables namely age, BMI, duration of hospital stay, breathlessness, O2 mask therapy, BiPAP support, and ventilator usage could be predictive in COVID-19 severity and mortality. The variables to be considered for predicting oxygen dependency are age, urban/rural, gender, duration of hospital stay, weight, height, BMI, fever, cough, breathlessness, diabetes, hypertension, and CAD. Copyright © 2022, Indian Academy of Clinical Medicine. All rights reserved.

2.
Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies ; CHAP: 109-121,
Article in English | Scopus | ID: covidwho-2089284

ABSTRACT

Infection and spread of viral diseases is undesirably not easy to regulate. The speed and scope of virus continues to grow due to multiple factors, be it social or environmental leading to sometimes the endemic or pandemic as is the case of SARS-CoV-2, which has appeared as a grave pandemic with a high mortality rate and post-recovery complications. One of the major complications of SARS-CoV-2 is pulmonary deterioration followed by pneumonia and even death. The noncritical patients also developed the potential risk of reducing respiratory strength (RS) even after successful recovery from this virus attack. It has become essential to evolve new and safe techniques to monitor the RS of patients rapidly so as to detect any potential complication and report to the healthcare providers for timely management. This pandemic COVID-19 caused by SARS-CoV-2 has sited new hassles on the health systems worldwide. Despite the terrific efforts of the governments and the healthcare providers across the world to combat this disease and its spread, develop the vaccine using technology, it is also vital to detect, track, and monitor the patients for their RS using internet of things (IoT) sensors. The chapter walks around the probability of monitoring the RS of the patients (also non-patients) from inside as well 110as outside the homes to report to the healthcare providers for quick action. A framework, CoReS is proposed as a life-saving technology to monitor and manage the RS of patients to detect any sign of potential complication. This technology will support patient satisfaction and decrease the mortality rate in health disaster. © 2023 by Apple Academic Press, Inc.

3.
Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies ; BOOK: 1-200,
Article in English | Scopus | ID: covidwho-2089278

ABSTRACT

The recent COVID-19 global pandemic exemplifies the need for efficient, reliable, and real-time tools and technology for forecasting and predicting healthcare disasters as well as for helping to restrict the subsequent spread and fatality of deadly diseases. This new book discusses many of the innovative and state-of-the-art tools and technology that can help meet the challenges of predicting such disasters. The chapters offer a plethora of useful information for designing healthcare disaster management systems that can be dynamically configurable with implementation of today’s modern technology, such as cloud computing, artificial intelligence, IoT, data analytics, and machine learning. These can increase effectiveness in remote sensing technologies, data analytics, data storage, communication networks, geographic information system (GIS), and global positioning System (GPS), to name a few. This book discusses mathematical models using graph-based approaches for analyzing dynamic, heterogeneous, and unstructured data for applications in epidemiology. The authors also address the use of mobile applications for communication efforts and remote monitoring for gauging health and the effectiveness of preventive healthcare measures. The chapters discuss influencing factors that directly or indirectly target public health infrastructure that can lead to or exacerbate global health crises, such as extreme climate changes, refugee health crises, terrorism and cyberterrorism, and technology-related incidents. The book further looks at efficient methods to analyze disasters and how to deliver healthcare in areas of conflict and crisis. This important volume, Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies, provides a bounty of useful information for health professionals, academicians, researchers, governmental agencies, and policymakers across the world to predict, mitigate, and manage global health disaster with emerging technologies. © 2023 by Apple Academic Press, Inc.

4.
Journal of Clinical and Diagnostic Research ; 16(9):OC21-OC24, 2022.
Article in English | EMBASE | ID: covidwho-2067195

ABSTRACT

Introduction: The clinical diagnosis of COVID-19 is supplemented by clinical severity indices. These indices are the National Early Warning Score (NEWS, which aids in risk stratification), CT severity score (radiological severity score), and Reverse Transcription-Polymerase Chain Reaction (RT-PCR) cycle threshold (Ct value, which provides a semi-quantitative measure of viral load). Aim(s): To assess the correlation between NEWS at admission, RT-PCR Ct value and CT severity score in mild and moderate COVID-19 patients. Methods and Materials: This prospective cohort study was conducted in Maulana Azad Medical College and Lok Nayak hospital, New Delhi, from January to June 2021. The study included 50 subjects (25 with mild COVID-19 and 25 with moderate COVID-19). NEWS was calculated at admission and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Ct value was estimated using real-time RT-PCR. CT severity score was calculated based on High Resolution Computed Tomography (HRCT) chest findings. The correlation among the parameters was determined using Pearson correlation formula. Result(s): The mean age of subjects in the mild and moderate COVID-19 groups were 49.52 years and 51.84 years, respectively. The mean RT-PCR Ct value of E gene was 24.48 and Rdrp gene was 24.56 in the mild COVID-19 group;while in the moderate group it was 23.72 for both E gene and Rdrp genes. The correlation between NEWS and Ct value of E gene (r-value=-0.06, p-value=0.68), Ct value of Rdrp gene (r-value=-0.03, p-value=0.79) and the correlation between CT severity score and Ct value of E gene (r-value=-0.05, p-value=0.73), Ct value of Rdrp gene (r-value=-0.06, p-value=0.68) was negative and insignificant. The mean CT severity score in mild COVID-19 group was 3.92, and in moderate COVID-19 group was 9.88. A significant positive correlation was found between the CT severity score and NEWS at admission. Conclusion(s): The clinical severity of COVID-19 as estimated by NEWS corroborates with CT severity score while the relationship between RT-PCR Ct value and clinicoradiological severity needs to be ascertained by further research. Copyright © 2022 Journal of Clinical and Diagnostic Research. All rights reserved.

5.
12th International Conference on Pattern Recognition Systems, ICPRS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2052019

ABSTRACT

The coronavirus pandemic (COVID-19) is probably the most disruptive global health disaster in recent history. It negatively impacted the whole world and virtually brought the global economy to a standstill. However, as the virus was spreading, infecting people and claiming thousands of lives so was the spread and propagation of fake news, misinformation and disinformation about the event. These included the spread of unconfirmed health advice and remedies on social media. In this paper, false information about the pandemic is identified using a content-based approach and metadata curated from messages posted to online social networks. A content-based approach combined with metadata as well as an initial feature analysis is used and then several supervised learning models are tested for identifying and predicting misleading posts. Our approach shows up to 93 % accuracy in the detection of fake news related posts about the COVID-19 pandemic. © 2022 IEEE.

6.
Blockchain Applications for Healthcare Informatics: beyond 5G ; : 243-265, 2022.
Article in English | Scopus | ID: covidwho-2035533

ABSTRACT

With ever-evolving social, economic, and technological factors, there has been an increased demand for progressive healthcare systems. Recent years have seen extensive adoption and integration of machine learning (ML) and deep learning (DL) paradigms with edge computing, further evolving into an Internet of Things framework based on a distributed computing setup, especially in the time of the COVID-19 pandemic. Although constant research to fight the coronavirus is ongoing, many ML/DL techniques can facilitate smart health applications such as prediction of cardiac arrest, cataract detection, bacterial sepsis diagnoses, and Alzheimer’s disease. To accommodate the exponentially increasing healthcare data, an essential assistant and a prime infrastructure provider in the information and communication technology sector are the upcoming federated learning and decentralized computing. These can help solve several challenges in various types of learning that occur in wireless communication systems, such as security and privacy. Our findings discuss the present scenario of COVID-19 as a case study and review the different approaches of ML and DL in 5G and wireless communication for healthcare. It also gives an overview of the currently used privacy-preserving methods and techniques in healthcare for medical tabular data and imaging. © 2022 Elsevier Inc. All rights reserved.

7.
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 ; : 113-158, 2022.
Article in English | Scopus | ID: covidwho-2035528

ABSTRACT

COVID-19 has been declared as a “pandemic” by the World Health Organization (WHO) and has claimed more than a million lives and over 50 million confirmed cases worldwide as of 7th November 2020. This virus can be curbed in only two ways: vaccination and other by imposing non-pharmaceutical interventions (NPIs), which are behavioral changes to a person and community. Most of the nations worldwide have imposed NPIs in the form of social distancing and lockdowns, which have been effective in reducing the pace of the virus's spread, but continued implementation has deemed social and economic losses. Hence strategic implementation of NPIs in a burst of periods should be done based on educated decisions using data about population mobility trends to find hot zones that lead to a spike in cases. These decisions will positively impact the virus's spread with lower damage to social and economic aspects. © 2022 Elsevier Inc. All rights reserved.

8.
Experimental Dermatology ; 31:94-94, 2022.
Article in English | Web of Science | ID: covidwho-2011770
9.
Indian Journal of Critical Care Medicine ; 26:S128, 2022.
Article in English | EMBASE | ID: covidwho-2006415

ABSTRACT

Aim and background: Cytokine storm caused by the release of proinflammatory mediators, e.g., IL-6, TNF-, IL2, IL10, G-CSF, etc., is the hallmark of COVID-19 disease. This cytokine storm is characterized by immuno-thrombomodulation. C-Reactive Protein (CRP) and d-dimer are markers of proinflammatory state, which can also be used as a prognostic marker for the underlying disease processes. Objective: To determine the clinical utility of raised C-reactive protein (CRP) and d-Dimer levels as prognostic markers in patients with the diagnosis of COVID-19. Materials and methods: This retrospective observational study will be conducted at Max Super speciality Hospital I.P. Extension, Delhi after ethical committee clearance. Adult (age > 18 years) patients with confirmed diagnosis of COVID-19 admitted to COVID-ICU between 1st April 2021 till 30th June 2021 will be included and checked for CRP and d-Dimer values retrospectively. Correlation between raised CRP and d-dimer on presentation and rising trend of markers with 28-day mortality, Average length of ICU stay, need for invasive mechanical ventilation, and need for Renal Replacement Therapy will be seen. Results: Results will be shared after the completion of the study.

10.
Journal of Marine Medical Society ; 24(3):162-164, 2022.
Article in English | Web of Science | ID: covidwho-1997937

ABSTRACT

The recent advances in telemedicine have offered real and practical opportunities to health-care providers in sharing expertise and resources in health care over distances. In India, telemedicine has revolutionized the health-care system by minimizing the cost, avoiding the long-distance travels and in timely providing specialist care in remote areas. The Indian Army is also reaping the benefits of telemedicine, by providing round-the-clock medical care to the troops deployed in high-altitude areas.

11.
European Journal of Molecular and Clinical Medicine ; 9(4):2461-2472, 2022.
Article in English | EMBASE | ID: covidwho-1995243

ABSTRACT

Aim: To study extrapulmonary manifestations in COVID-19 patients. Material and methods: The present retrospective study was conducted among 200 COVID positive patients in the department of medicine, CSS Hospital, Subharti Medical College, Meerut. COVID-19 was diagnosed on the basis of the WHO interim guidance. Patients' diagnosis was identified along with the co-morbidity (if present). Laboratory investigations comprised of CBC and serum albumin detection. Extrapulmonary manifestations were defined as patients having predominantly neurological, gastrointestinal (GI), cardiovascular, cutaneous, and uncommon respiratory symptom such as hemoptysis either concomitant with typical respiratory symptoms or as the sole manifestation. Results: Fever was most frequent complain (n=97, 48.5%), followed by cough (n=76, 38%) and dyspnea was present in 51 subjects (25.5%). The most common respiratory symptoms was dyspnea (n=64, 32%). The most common cardiovascular symptoms was Dyspnea on exertion (n=54, 27%), followed by Palpitations (n=29, 14.5%). The most common GIT Symptoms was diarrhea (n=34, 17%), followed by Vomiting (n=13, 6.5%) and only 8 subjects (4%) reported abdominal pain. Dermatological symptoms were shown in 5 (2.5%) subjects. The most common musculoskeletal Symptoms was fatigue (n=103, 51.5%), followed by Myalgias (n=11, 5.5%) and Joint/Back Pain (n=4, 2%). Conclusion: Patients with COVID-19 require long-term follow-up even after recovery for observation and management of their post-COVID ailments. During the ongoing COVID-19pandemic, most health facilities are overloaded. Hence, arranging follow-up for patients can be a challenge. Therefore, a comprehensive rehabilitation program is essential for such patients during hospitalization and discharge.

12.
Indian Journal of Hematology and Blood Transfusion ; 2022.
Article in English | EMBASE | ID: covidwho-1956016
13.
SAGE Open Medical Case Reports ; 10, 2022.
Article in English | EMBASE | ID: covidwho-1916523

ABSTRACT

Persistent shortness of breath is one of the most common concerns reported by patients with post-acute sequelae of SARS-CoV-2. Here, we present a case of bilateral diaphragmatic paralysis as a cause shortness of breath that developed after SARS-CoV-2 infection. A middle-aged gentleman with history of sleep apnea and body mass index 27.9 kg/m2 presented to our post-COVID clinic with 3 months of dyspnea and orthopnea after contracting SARS-CoV-2 in November 2020. During acute infection, he was hospitalized for hypoxemia, which improved with steroids and supplemental oxygen. At 3 months, he continued to report dyspnea and orthopnea. On examination, he had tachycardia and increased respiratory rate with paradoxical respiratory abdominal movement. Chest imaging showed elevated bilateral hemidiaphragms without any parenchymal lung disease. Pulmonary function test revealed severe ventilatory defect with restrictive lung disease. He was diagnosed with bilateral diaphragmatic dysfunction which was confirmed by absence of evoked potentials in diaphragm after phrenic nerve stimulation bilaterally. He was advised to use continuous positive airway pressure machine to assist with breathing at night. At his last follow-up (1-year post-infection), he was symptomatically improving without specific interventions.

14.
Vox Sanguinis ; 117(SUPPL 1):266, 2022.
Article in English | EMBASE | ID: covidwho-1916355

ABSTRACT

Background: Covid-19 like other viruses, can change the immunohematological profile of the infected patients and timely identification of these changes can help in the management of these patients. There are various reports which have shown decline in haemoglobin in covid patients due to autoimmune red cell hemolysis. One recent study has shown that patients admitted in ICU have higher chances of DAT positivity as compared to non-covid patients. Aims: • To assess the Immunohematological profile of COVID-19 positive patients. • To find any correlation between the immunohematological profile and clinical spectrum of COVID-19 disease. Methods: It was a prospective observational study. Blood grouping, Direct antiglobulin test (DAT) and antibody screening (ABS) were performed on RT-PCR confirmed COVID-19 positive and COVID-19 negative patients admitted in Intensive care units and General wards of our institute. The immunohematological findings were also correlated with the patient clinical laboratory profiles. Results: A total of 205 patients were recruited. Out of which 102 were RT-PCR Covid-19 positive and 103 were negative. There was difference in blood group distribution with significantly less O group individuals in RT-PCR negative group. The overall DAT positivity was seen in 24.4% of the total 203 patients enrolled in the study. The DAT positivity was significantly higher (p value 0.01) in COVID-19 positive patients (32%) than COVID-19 negative patients (16.7%). However, there was no significant difference in the percentage of DAT positivity among patients admitted in ICU or general ward patients. Among COVID-19 positive patients, the mean haemoglobin was statistically significantly (p value 0.02) lower in DAT positive (Mean Hb: 8.5gm/dl) as compared to DAT negative patients (Mean Hb 9.6gm/dl). Also, DAT positive patients among COVID-19 positive patients were found to have significantly higher C-Reactive protein levels (p value: 0.05). There was no significant difference in other biochemical parameters between COVID-19 positive and COVID-19 negative individuals. DAT positivity was not associated with any drug intake or co-morbid state. Summary/Conclusions: Like other bacterial and viral infections, COVID-19 is also associated with DAT positivity indicating some autoimmune phenomenon due to exposure of the crypt antigens. The specificity of antibodies involved in DAT are mainly IgG and hence it may present as autoimmune hemolytic anaemia. And its association with increased inflammatory makers can help us in decision making by blood transfusion services and better management of COVID-19 patients requiring blood transfusion. .

15.
7th International Conference on Computing in Engineering and Technology, ICCET 2022 ; 303 SIST:705-719, 2022.
Article in English | Scopus | ID: covidwho-1877804

ABSTRACT

Technology is one of the modes of education to optimize teaching and learning methodologies in imparting knowledge. Talking about higher educational institutes, one can see the same pedagogy as it used to be a decade ago. However, these Institutes are plagued by many challenges like lack of infrastructure and inadequate technology access, and it is essential to see how these burgeoning technologies (ICT) are fostering and bridging this massive gap of teaching and learning and keeping pace with the rest of the part of the globe. ICT has revolutionized almost every sphere of society. The education system is one of the sectors that has also undergone a massive change with ICT incorporation. After the arrival of the worldwide covid pandemic, the use of ICT in education has increased extensively. This paper has performed a comparative analysis on ICT usage by the students and teachers of engineering institutions in pre-covid age and post-covid age. The survey method of data collection has been used in this research work. Analysis of results has revealed that the usage of ICT by the students and teachers has been significantly increased after the arrival of covid. Moreover, the presented work has highlighted the issues raised by the students and teachers in the post-covid time. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

16.
Diabetic Medicine ; 39(SUPPL 1):108-109, 2022.
Article in English | EMBASE | ID: covidwho-1868616

ABSTRACT

Aims: At a North London hospital which lacked remote blood glucose monitoring, we sought to introduce a system that automatically alerted the Diabetes Team of inpatients with deranged blood glucose (BG) measurements. We hypothesised that this would streamline the team's workflow, and improve glycaemic control in inpatients. Methods: We developed a feature that used data from recently deployed e-vitals software to generate daily reports containing lists of inpatients who had experienced hypo-or substantial hyper-glycaemia ( < 4 or >20mmol/L) within the previous 24h. These reports were automatically sent each morning to the Diabetes Team. Results: Feedback from specialist nurses suggested improvement in the efficiency of their patient identification workflow, which previously had principally involved taking phone referrals and manually searching ward lists. Initial post-intervention data did not suggest improvement in hospital-wide deranged BG rates, however this was confounded by a sharp rise in covid-19 admissions shortly after deployment, with the majority receiving corticosteroids. After several months of use, the feature unexpectedly failed for approximately six weeks, during which time on average significantly more daily hypoglycaemic episodes occurred vs the preceding six-week period (two-sided rank sum, p < 0.001), with rates returning to baseline after it was reintroduced. Conclusions: Our intervention aided staff workflows and possibly improved inpatient glycaemic control, although worsening glycaemic control outcomes upon intervention withdrawal cannot reliably be extrapolated to infer overall benefit of the feature vs pre-intervention standard-of- care. Financial barriers often preclude deployment of gold-standard digital systems in healthcare;innovative exploitation of data generated by more affordable systems can improve productivity and patient care without additional cost.

17.
The Journal of the Association of Physicians of India ; 70(4):11-12, 2022.
Article in English | Scopus | ID: covidwho-1823949

ABSTRACT

Chronic liver disease (CLD) patients develop portal hypertension which lead to complications like splenomegaly, ascites and esophageal varices. Portal hypertension is defined as hepatic venous pressure gradient more than 5mmHg, being invasive it is difficult to measure. Some studies show that increased portal vein diameter (PVD) on ultrasonography correlate with oesophageal varices and can indicate portal hypertension. Studies correlating PVD with other complications of portal hypertension like ascites and spleen size are lacking. Aim of this study was to correlate portal vein diameter with ascites, spleen size, thrombocytopenia and prognostic markers like Child-Turcotte Pugh (CTP) score and Model for End stage Liver Disease (MELD) score in Chronic liver disease patients. MATERIAL: This was a cross-sectional observational study of patients with Chronic liver disease conducted at tertiary care teaching hospital. All patient underwent clinical history, examination, blood testing and ultrasonography. Data collected was analysed by using statistical tests. OBSERVATION: Out of 97 CLD patients taken in study, the mean age of patients was 47.39 ± 12.64 year and majority were male (75.3%). Most common etiological factor was alcohol (in 53.7%). On clinical examination, 55.7% patients had pallor, 54.6% had icterus. Chest radiograph shows pleural effusion in 14.4% patients. Mean portal vein diameter was found to be 12.31 ± 2.71mm. Correlation coefficient of portal vein diameter with spleen size was 0.3 with p value of 0.004 suggesting a positive correlation. Parameters like thrombocytopenia, CTP score and MELD score correlation coefficient was -0.2(p-value: 0.066), 0.1(p value: 0.463) and 0.0(p-value: 0.725) respectively. The mean of PVD(mm) in ascites group was 12.43 and non ascites group was 11.92. Strength of association was 0.08 (Point Biserial correlation) indicating no association. CONCLUSION: Portal vein diameter had positive correlation with spleen size which is statistically significant in our study. No significant correlation was observed between PVD with ascites, thrombocytopenia, CTP score and MELD score. © Journal of the Association of Physicians of India 2011.

18.
6th International Conference on Advanced Production and Industrial Engineering, ICAPIE 2021 ; : 319-331, 2022.
Article in English | Scopus | ID: covidwho-1787789

ABSTRACT

Automation of processes through the use of industrial robots is a critical component of the transition to Industry 4.0. This paper aims to present the design of a biomedical robotic manipulator and attempt to simulate its trajectory in a virtual environment. The task of collecting samples for COVID-19 serves as a case study for the manipulator. Using the CAD tool, a suitable design was developed to meet the task requirements. After determining the end effector waypoints, path planning was carried out. Following that, a cubic polynomial trajectory was implemented in the MATLAB environment to obtain the time-scheduled third-order trajectories of the robot joints. Finally, the trajectory optimization algorithm based on the concept of via-points was developed to reduce the energy consumed by the robot while performing the task. The results from the optimization algorithm showed the energy savings of approximately 28% by following the optimized trajectory. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

19.
Indian Journal of Clinical Biochemistry ; 36(SUPPL 1):S87, 2021.
Article in English | EMBASE | ID: covidwho-1767687

ABSTRACT

Objective : In this study, we have assessed the hematological characteristics of the patients. This study aimed to evaluate the accuracy of laboratory parameters in predicting cases with positive RT-PCR for COVID19. Methodology: This was a cross-sectional study that included 32 RTPCR +ve and 64 RTPCR -ve cases over a period of 5 weeks. The blood samples were collected from symptomatic patients who presented to cough OPD. On the day of swab sampling, blood sampling was done for each participant. All tests were performed in an appropriate autoanalyzer after complying with internal quality control. Results: The mean CT value of RT-PCR test was found to be 22.7, while mean PCT value was 0.3 ng/ml. The mean ferritin value came out to be 133.5 ng/ml and mean D-dimer values calculated to be just 1.3 mg/L. The mean LDH and CRP levels were 340.4 IU/L and 12.6 mg/L respectively. The sensitivity and specificity for procalcitonin analysis among these patients were 97% with CI (93.8-100) followed by serum ferritin with 82%, CI (70-94) and CRP levels were having just 77.3%, CI (61.2-93.4). Conclusion: In the current study, the AUC of procalcitonin and serum ferritin were above 0.80;thus, they are effective and have very good predictive value for predicting COVID-19. It seems that these blood laboratory parameters could be used in screening cases with positive RT-PCR for COVID-19. However, serum LDH, D Dimer, and vitamin D levels or liver function tests, renal function tests remain insignificantly linked with covid positivity rate in this study.

20.
Indian Journal of Medical Microbiology ; 39:S60-S61, 2021.
Article in English | EMBASE | ID: covidwho-1734474

ABSTRACT

Background:There are more than 350 RT-PCR COVID-19 testing kits commercially available but these kits has not been evaluated for pooled sample testing. Thus, this study was planned to compare and evaluate seven commercially availa- ble kits for pooled samples testing. Methods:Diagnostic accuracy of (1) TRUPCR SARS-CoV-2 Kit (Black Bio, India) (2) TaqPath RT-PCR COVID-19 Kit (Thermo Fisher, USA) (3) Allplex 2019-nCOV Assay (See gene, Korea), (4) Patho detect COVID-19 PCR kit (My Lab, India) (5) LabGun COVID-19 RT-PCR Kit (Lab Genomics, Korea) (6) Fosun COVID-19 RT-PCR detection kit (Fosun Ltd, China) (7) Real time Fluorescent RT PCR kit for SARS CoV – 2 (BGI, china) was evaluated on pre characterised 40 positive and 10 nega- tive COVID-19 sample pools. Results:All seven kits detected all sample pool with low Ct value (<30). While testing weak positive pooled samples with high Ct value (>30);TRUPCR Kit, TaqPath Kit, Allplex Assay and BGI RT PCR kit showed 100% sensitivity, specificity and accuracy. However;Fosun kit, LabGun Kit and Patho detect kit could detect only 90%, 85% and 75% of weak positive samples respectively. [Formula presented] Conclusions:We conclude that all seven commercially available RT-PCR kits included in this study can be used for routine molecular diagnosis of COVID-19. While perform- ing pooled sample testing it might be advisable to use those kits that performed best regarding the positive iden- tification in samples pool i.e. TRUPCR SARS-CoV-2 Kit, TaqPath RT-PCR COVID-19 Kit, Allplex 2019-nCOV Assay and BGI Real time RT PCR kit for detecting SARS CoV – 2.

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