Knowledge, Attitude, Practice and Preparedness toward COVID-19 Pandemic among Healthcare Workers in Designated COVID Hospitals of a North-Eastern State of India.

The knowledge, attitude, and practice (KAP) of healthcare workers (HCW) toward the COVID-19 pandemic influence their preparedness to accept the preventative measures. This study investigates KAP toward COVID-19 among the HCWs working in two designated COVID hospitals. It was a cross-sectional study. The overall KAP scores were calculated, and the difference in mean scores among various demographic and other variables was tested using t-test and one-way ANOVA. The participants were knowledgeable about transmission modes and disease symptoms and were aware of the preventive measures like hand sanitisations for 96% and 91% for wearing masks. Among the knowledgeable group, 87% were aware of the control measures of COVID-19 infection like isolation and treatment of the infected; quarantine of their close contacts; and 92% had the acquaintance about the avoidance of public transport and crowded places as a safety measure. The HCWs also showed a positive attitude toward keeping distance and staying at home (81.13% strongly agreed) and regularly washing hands (agreed 91%). The mean knowledge, attitude, and practice scores of the study participants were 19.67(±1.85), 27.95(1.81) and 4.61(0.51), respectively. Nurses were found to have significantly better knowledge, attitude, and practice toward COVID-19 than laboratory technicians and pharmacists. HCWs having higher education levels were also found to have better knowledge about COVID-19. The majority of the HCWs who participated in the study also strongly agreed that the referred hospitals are well prepared for infection prevention and control (IPC). Better knowledge, attitude and practices toward COVID-19 may considerably decrease the risk of getting the disease.

Convalescent Plasma The Experience And Journey From Blockbuster To Incognito: A Single Centre Experience

BACKGROUND: Convalescent plasma has been used to provide passive immunotherapy to patients with Covid-19 with a high level of safety. Very few efficacy studies were available, and due to COVID being a relatively new disease, its exact therapeutic role was unclear. This observational study on the impact of Covid convalescent plasma (CCP) on clinical outcomes attempts to evaluate the effectiveness of convalescent Covid 19 plasma therapy in the treatment of Covid 19 patients at the tertiary care center in the Uttarakhand state of India. METHODS: CCP was collected by plasmapheresis/ whole blood from willing Covid-recovered donors who underwent pre-donation testing including ABO and RhD grouping, mandatory blood screening tests for HIV, HBV, HCV, syphilis and Malaria, Haemoglobin estimation and Covid IgG assay. Hospitalized patients with severe Covid-19 pneumonia who received these CCP units were followed up and the outcome (Recovery/death) was observed. RESULTS: A total of 63 patients who received CCP were included in the study. Out of the total, 13 (20.7 %) were females and 50 (79.3 %) were males and their ages ranged from 24 to 80 years with a median age of 53 years. The period between the start of symptoms and hospitalization ranged from 1 to 14 days with an average duration of 4.7 days. Symptoms on presentation included Fever 53/63 (84.1 %), Tachypnoea 60/63 (95.2 %) and Cough 42/63 (66.7 %). Among these patients, 22/63 (34.9 %) were on non-invasive ventilation (NIV), 6/63 (9.5 %) on non-rebreather mask (NRBM) and 32/63 (50.8 %) were on Ventilator support. The infused convalescent plasma had a Mean IgG value of 57.3 AU with a range of (10-142 AU). A total of 37 (58.7 %) patients were lost to Covid-19 infection and 26 (41.3 %) were discharged from the hospital in a healthy state. CONCLUSION: The use of convalescent plasma in addition to standard treatment in our study on patients with severe pneumonia due to Covid-19 did not demonstrate reduced mortality of Covid 19 patients amidst numerous variables. The results showed that the use of convalescent plasma as a treatment option in the present conditions needs a serious re-evaluation. Studies on a strictly defined recipient group and transfusion of CCP units, with adequate antibody titer and/or neutralization activity, must be analyzed for future works.

Incidence of SARS-CoV-2 Co-infections During the Second Wave in Sub-Himalayan Region, India.

Introduction The second wave of the coronavirus disease 2019 (COVID-19) pandemic in India, which started from April 2021, has been more severe and deadly than the first wave. The aim of this prospective study was to determine the possibility of other respiratory pathogens contributing towards the severity and hospitalization in the current second wave. Materials and methods Nasopharyngeal and oropharyngeal swab samples were collected and processed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by reverse transcription polymerase chain reaction (RT-PCR). These samples were further processed for detection of co-infection in SARS CoV-2 patients by BioFire® Filmarray® 2.0 (bioMérieux, USA). Results We screened 77 COVID-19-positive patients admitted to All India Institute of Medical Sciences (AIIMS), Rishikesh and found cases of co-infections in five (6.49 %) patients. Conclusion Our finding suggests that co-infections had no or minimal role in augmenting the second wave of the COVID-19 pandemic in India, and the emergence of new variants may be the probable cause.

Pelvic Exenteration for Locally Advanced Rectal Cancer: an Initial Experience from North-east India.

Pelvic exenteration is a surgery done to achieve margin negative resection in locally advanced rectal cancer infiltrating pelvic organs anterior to it. A retrospective observational study of patients undergoing pelvic exenteration for locally advanced rectal cancer was done at a single surgical unit of a tertiary care cancer centre. The period of study was from 1st January 2019 to 30th June 2021. A total of twelve patients underwent pelvic exenteration for locally advanced rectal cancer during the study period. The median duration of surgery was 310 min (range 250 to 380 min). The median duration of hospital stay was 14 days (range 12 to 30 days). Seven patients had documented postoperative complications, either major or minor, with a complication rate of 58.3%. Three patients required re-admission for complications. Two patients had COVID19 infection in the postoperative period but had uneventful recovery. Margin negative resection (R0) was achieved in eight patients (66.67%). Pelvic exenteration for locally advanced rectal cancer is a definitive surgery associated with a high morbidity rate. Supplementary Information: The online version contains supplementary material available at 10.1007/s13193-022-01529-3.

The Mystery of Mucormycosis in COVID-19: A Multifactorial Menace or an Enigmatic Delta Variant Associated Phenomenon? An Exploratory Study from a Tertiary Care Centre in North India with a Brief Literature Review

Background: There was a global surge in cases of mucormycosis in COVID-19 patients during the second wave of the pandemic in 2021, reported especially from India. Various predisposing factors such as diabetes mellitus, rampant use of corticosteroids, and COVID-19 per se may be responsible for this spike. Some public health experts have postulated that the epidemiological link between the Delta variant of SARS-CoV-2 and mucormycosis should be explored. Material and Methods: A retrospective exploratory study was conducted, in which data of 15 laboratory-confirmed cases of COVID-19 with mucormycosis and/or aspergillosis co-infections were collected after obtaining approval from the institute's ethics committee. These patients were admitted to the Mucor wards of our hospital. The positive COVID-19 status of these patients was confirmed by reverse transcriptase-polymerase chain reaction (RT-PCR). The residual SARS-CoV-2 RNA containing elutes of these patients were stored at −80°C in deep freezers and subjected to whole-genome sequencing in June 2021 at the National Centre for Disease Control (NCDC), New Delhi, India as part of the Indian SARS-CoV-2 Genomic Consortia (INSACOG) program. Concomitant fungal infections in these patients were diagnosed by KOH wet mount and fungal culture as per standard guidelines. Descriptive statistics in the form of percentages and median were used to report the findings. Results: Periorbital swelling and ocular pain (14/15;93.33%), followed by facial swelling (11/15;73.33%) and nasal obstruction (9/15;60%), were the most common clinical features observed in these patients. Rhizopus arrhizus was the most common causative fungal agent (12/15;80%). The majority of the patients (9/13;69.23%) were infected with the Delta variant of SARS-CoV-2. Conclusion: COVID-associated mucormycosis seems to be multifactorial in origin. Although there may be a possible association between mucormycosis and the Delta variant, more studies should be conducted to explore this seemingly reasonable proposition.

The intricate association of COVID-19 pandemic with ecological issues.

This critical narrative review is intended to emphasize the comprehensive ecological issues related to the evolution of the novel coronavirus, the environmental factors associated with the disease progress, and the impact the pandemic is having on the environment. Approximately 60% of the emerging infectious disease of the last century (including deadly viruses like HIV, Ebola, Influenza, coronavirus strains like SARS, MERS) are linked to zoonotic spillover. Therefore, to escape the emergence of newer cross-species infections, proper precautionary measures should be taken. Every country has specific rules to deal with the biomedical waste produced in hospitals. But the COVID-19 pandemic has posed a unique global challenge due to the overwhelming amount of biomedical waste generated from dedicated COVID hospitals, diagnostic facilities, quarantine centers, and home quarantine facilities. Moreover, inappropriate disposal of masks by the general public may contaminate the environment turning it into a potential health hazard. Therefore, strict adherence to Biomedical Waste Management Guidelines for proper disposal of masks and other medical waste by all concerned is a must. Lockdown has brought about tremendous improvement in conditions of the world's atmosphere, hydrosphere, and biosphere. Dramatic improvement in air quality index, decrease in water, and noise pollution are some of the positive aspects of lockdown. However, these effects are temporary. But these teach an important lesson to the world to take some permanent measures to bring down greenhouse gases and other toxic emissions. Some harmful effects of lockdown are illegal deforestation, wildlife trafficking, encroachment of reserved areas etc.

Pelvic Exenteration for Locally Advanced Rectal Cancer: an Initial Experience from North-east India

Pelvic exenteration is a surgery done to achieve margin negative resection in locally advanced rectal cancer infiltrating pelvic organs anterior to it. A retrospective observational study of patients undergoing pelvic exenteration for locally advanced rectal cancer was done at a single surgical unit of a tertiary care cancer centre. The period of study was from 1st January 2019 to 30th June 2021. A total of twelve patients underwent pelvic exenteration for locally advanced rectal cancer during the study period. The median duration of surgery was 310 min (range 250 to 380 min). The median duration of hospital stay was 14 days (range 12 to 30 days). Seven patients had documented postoperative complications, either major or minor, with a complication rate of 58.3%. Three patients required re-admission for complications. Two patients had COVID19 infection in the postoperative period but had uneventful recovery. Margin negative resection (R0) was achieved in eight patients (66.67%). Pelvic exenteration for locally advanced rectal cancer is a definitive surgery associated with a high morbidity rate. Supplementary Information The online version contains supplementary material available at 10.1007/s13193-022-01529-3.

Impact of COVID-19 Pandemic on a Tertiary Care Center's Surgical Volume and Outcomes: a Single Institutional Study from Northeast India.

In this study, we aimed to compare the surgical volume and outcomes between this COVID-19 period and data from non-COVID-19 period of last year. A retrospective observational study was done in one single surgical unit of a dedicated oncology center in a peripheral location in India. The comparison was done between patients undergoing major cancer surgery during the COVID-19 pandemic period of 1st April to 30th June 2020, when a nation-wide lockdown was in force, to a comparable period of last year. Statistical analysis was done using SPSS software 20.0. A total of 72 patients underwent major cancer surgery during this period, with surgery for breast cancer (n = 26) being the major sub-site operated. This was a significant decrease from the total 209 major cancer surgeries performed during a similar period of last year (2019) (p < 0.05). There were several reasons for the decrease in surgical numbers, including the difficulty in travel and accommodation during the lockdown period. The mean distance of patient's residence from the treating hospital was 45.7 km (range 4 to 165 km). Public transport was in a limbo and inter-state travel was restrictive with mandatory quarantine rules in effect. Morbidity associated with major surgeries was observed to be significantly less during the COVID-19 period compared to the pre-COVID-19 times (8.3% vs 17.2% with a p value of < 0.05), which can probably be attributed to the lesser number of complex surgical procedures being performed. There was no significant difference between the total mortality percentages (2.8% vs 3.8%). A total of 156 PPE kits were used (3-4/per patient) throughout the in-hospital care of the surgical patients included in this study. In the midst of a pandemic, the delivery of surgical cancer care is an essential service and although the surgical volume is significantly hampered due to various reasons, the outcomes are largely unaffected.

Fear, Anxiety, Stress, and Depression of Novel Coronavirus (COVID-19) Pandemic Among Patients and Their Healthcare Workers - A Descriptive Study.

PURPOSE: Disease pandemics are known to cause psychological distress. The ensuing mental health issues are not only restricted to the patients and their relatives/friends but affect the healthcare workers (HCWs) as well. Our study aims to assess these psychological trends during the COVID-19 pandemic between the two most affected population groups, that is, patients and frontline healthcare workers. PATIENTS AND METHODS: A survey questionnaire, including scales to assess fear, anxiety, stress, depression - PSS 10, and DASS 21, was distributed and sent to all COVID-19 suspected/confirmed individuals and healthcare workers at a tertiary care center along with a second visit after 14 days of answering the first questionnaire and this continued as follow-up. Data were analyzed with the SPSS version 23 using various tests of significance. RESULTS: In the community, COVID-19 patients in the age group 41-50 with respiratory tract symptoms and those who were home isolated/quarantined experienced a greater tendency of mental health problems. Healthcare workers posted in COVID-19 designated areas of the hospital displayed higher levels of stress, anxiety, and depression. CONCLUSION: The high degree of uncertainty associated with novel pathogens has a profound effect on the psychological state of suspected/confirmed cases as well as healthcare workers. Within the community, individuals suspected of having COVID-19 display a significant mental health burden, while HCWs also experience an unprecedented amount of stress, anxiety, depression and fear during such enduring situations.

Hepatitis C virus subtyping in Uttarakhand, India: a comparative study.

The objective of this study was to compare Reverse Hybridisation Assay with conventional sequencing for determination of Hepatitis C Virus Genotype and Subtypes. Anti-HCV antibody was determined followed by HCV RNA extraction which was used for (1) viral load determination (2) qualitative real-time PCR RHA for genotyping and (3) conventional sequencing. Compared to conventional sequencing, accuracy of RHA results was 96.55% for determination of genotype (κ = 0.93) and 89.66% for subtype (κ = 0.85). Sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) of the qualitative PCR were 82.29%, 100%, 44.44% and 100% respectively with an accuracy of 86.84%. RHA is a less time consuming and cheaper method for determination of HCV genotype and subtype yet results must be interpreted with caution and quality control monitoring should be strictly followed to ensure validity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13337-021-00729-9.

Clinical Characterization and Genomic Analysis of Samples from COVID-19 Breakthrough Infections during the Second Wave among the Various States of India.

From March to June 2021, India experienced a deadly second wave of COVID-19, with an increased number of post-vaccination breakthrough infections reported across the country. To understand the possible reason for these breakthroughs, we collected 677 clinical samples (throat swab/nasal swabs) of individuals from 17 states/Union Territories of the country who had received two doses (n = 592) and one dose (n = 85) of vaccines and tested positive for COVID-19. These cases were telephonically interviewed and clinical data were analyzed. A total of 511 SARS-CoV-2 genomes were recovered with genome coverage of higher than 98% from both groups. Analysis of both groups determined that 86.69% (n = 443) of them belonged to the Delta variant, along with Alpha, Kappa, Delta AY.1, and Delta AY.2. The Delta variant clustered into four distinct sub-lineages. Sub-lineage I had mutations in ORF1ab A1306S, P2046L, P2287S, V2930L, T3255I, T3446A, G5063S, P5401L, and A6319V, and in N G215C; Sub-lineage II had mutations in ORF1ab P309L, A3209V, V3718A, G5063S, P5401L, and ORF7a L116F; Sub-lineage III had mutations in ORF1ab A3209V, V3718A, T3750I, G5063S, and P5401L and in spike A222V; Sub-lineage IV had mutations in ORF1ab P309L, D2980N, and F3138S and spike K77T. This study indicates that majority of the breakthrough COVID-19 clinical cases were infected with the Delta variant, and only 9.8% cases required hospitalization, while fatality was observed in only 0.4% cases. This clearly suggests that the vaccination does provide reduction in hospital admission and mortality.

Comparative Evaluation of Nasopharyngeal and Oropharyngeal Swab Based Rapid SARS-CoV-2 Antigen Detection and Real-Time RT-PCR for Diagnosis of COVID-19 in Tertiary Care Hospital.

PURPOSE: To assess and compare the diagnostic accuracy of the GenBody COVID-19 Antigen kit (GenBody Inc., Cheonan, South Korea) available in the market with the gold standard reverse transcription-polymerase chain reaction (RT-PCR) assay to detect severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). METHODS: Nasopharyngeal and oropharyngeal swabs were collected from suspected coronavirus disease 2019 (COVID-19) patients and tested by RT-PCR and GenBody Rapid antigen kit. Performance characteristic of the antigen kit was calculated. RESULTS: We tested nasopharyngeal swabs and oropharyngeal swabs (n=240). Amongst the 102 positive RT-PCR samples, the rapid antigen test detected 36 as positive, showing an overall sensitivity of 35.3%. All the samples detected positive with the antigen rapid test were also detected positive by RT-PCR. CONCLUSION: The performance of the rapid antigen kit was good with respect to high viral load samples, whereas those with lower levels were missed. Unfortunately, the overall low sensitivity of the antigen kit does not allow using it alone as the frontline testing kit for COVID-19 diagnosis.

Hematological profile and biochemical markers of COVID-19 non-survivors: A retrospective analysis.

BACKGROUND: Coronavirus disease is primarily transmitted through the respiratory route and bodily contact. The fatality in COVID-19 cases was alarming in the initial days. This study analyzes hematological and biochemical markers of COVID-19 non-survivors. MATERIAL AND METHODS: In this single-center study, records of 249 patients hospitalized with COVID-19 were studied for hematological profile and biochemical markers. Records of patients with laboratory-confirmed COVID-19 disease hospitalized between April 14, 2020, to August 15, 2020, were included in the analysis. RESULTS: Significantly, the disease mortality was associated with increased procalcitonin (P < 0.05), C-reactive protein (P < 0.05), aspartate transaminase (P < 0.05), serum potassium (P < 0.05), neutrophils count (P < 0.05), white blood cell count (P < 0.05), prothrombin time (P < 0.05) and activated prothrombin time (P < 0.05) in patients reported abnormal x-ray findings. Further, patients with abnormal radiological findings significantly showed a reduced level of lymphocyte counts (P < 0.05), oxygen saturation (P < 0.05), and partial oxygen pressure (P < 0.05). Reduced level of aspartate aminotransferase (P < 0.05), alanine aminotransferase (P < 0.05) and lactate dehydrogenase (P < 0.05) reported significant association with mortality among patients with COVID-19. CONCLUSIONS: The clinicians may consider the hematological and biochemical parameters in the patients with COVID-19 in future decision-making. These indicators might support clinical decisions to identify high fatality cases and poor diagnosis in the initial admission phase. In COVID-19 patients, we recommend close monitoring on procalcitonin, C-reactive protein, neutrophils count, and white blood cell count as a clinical indicator for potential progression to critical illness.

Cycle threshold values versus reverse transcription-polymerase chain reaction positivity in COVID-19 de-isolation.

In the modern COVID-19 pandemic, reverse transcription-polymerase chain reaction (RT-PCR) positivity has a major role in the diagnosis of the disease. However, in deciding the patient's discharge or de-isolation, its role is still debatable. We are, hereby, describing three cases (an intern, a nursing officer and a caretaker of another patient) where only RT-PCR could not help much since it was persistently positive for >20 days of the illness course. Instead, the cycle threshold (Ct) values could have better correlated with the infectivity of COVID. We propose a rising trend (24 h apart) and absolute Ct value > 25, instead of RT-PCR negativity (which was taken as Ct value > 36 in our laboratory), to be used in deciding the infective potential of the patients, their discharge from the hospital and de-isolation of the patients. This will help in the timely discharge of patients from health-care institutions and home isolation, which, as a result, will lead to optimal utilisation of the limited hospital resources we have available in the line of the ongoing pandemic. Future studies are required to define the exact cut-off of Ct value for de-isolation purposes.

Effectiveness of Sample Pooling Strategies for SARS-CoV-2 Mass Screening by RT-PCR: A Scoping Review.

The ongoing COVID-19 pandemic has hugely impacted the economy of many countries, and there is an acute shortage of diagnostic resources. With the exponential increase in the number of cases and necessity to screen large number of people, there is a steep increase in the demand for diagnostic kits. Pooled-sample testing is a promising strategy to screen a large population rapidly with limited resources. The aim of this work was to compile a cohesive literature review of the effectiveness and accuracy of pooled-sample testing in the detection of SARS-CoV-2 and critically analyze its limitations. Medline, Google Scholar, Embase, and preprint servers (e.g., bioRxiv) were searched for literature on pooled testing for diagnosis of COVID-19, and out of initial 60 articles/reports, nine original articles were retained. Optimal pool size (number of samples in a pool) seemed to be dependent on factors like prevalence or rate of positivity in community. In low-prevalence localities pool size of around 30 seemed to be effective as observed by some authors. All the researchers had found significant reduction in number of tests (depending on pool size, stages, and pooling design), leading to conservation of resources. Pooling can be done with extracted RNA eluate or directly with patient's sample before extraction. This leads to further reduction in consumables, time and manpower. Risk of false negativity in samples with high-threshold cycle (i.e., low-viral load) value was a concern. Some researchers suggest adding few additional cycles to lower the chances of missing positive cases with low-Ct value. Lower limit of detection (LoD) of RT-PCR kits, that is, sensitivity of kits was another factor to consider. Thus, in a country like India, given the economic benefit and scarcity of resources, pooling strategy can be very effective, especially in low-prevalence areas and in low-risk contacts.

Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking.

BACKGROUND: The outbreak of the novel coronavirus disease COVID-19, caused by the SARS-CoV-2 virus has spread rapidly around the globe during the past 3 months. As the virus infected cases and mortality rate of this disease is increasing exponentially, scientists and researchers all over the world are relentlessly working to understand this new virus along with possible treatment regimens by discovering active therapeutic agents and vaccines. So, there is an urgent requirement of new and effective medications that can treat the disease caused by SARS-CoV-2. METHODS AND FINDINGS: We perform the study of drugs that are already available in the market and being used for other diseases to accelerate clinical recovery, in other words repurposing of existing drugs. The vast complexity in drug design and protocols regarding clinical trials often prohibit developing various new drug combinations for this epidemic disease in a limited time. Recently, remarkable improvements in computational power coupled with advancements in Machine Learning (ML) technology have been utilized to revolutionize the drug development process. Consequently, a detailed study using ML for the repurposing of therapeutic agents is urgently required. Here, we report the ML model based on the Naive Bayes algorithm, which has an accuracy of around 73% to predict the drugs that could be used for the treatment of COVID-19. Our study predicts around ten FDA approved commercial drugs that can be used for repurposing. Among all, we found that 3 of the drugs fulfils the criterions well among which the antiretroviral drug Amprenavir (DrugBank ID-DB00701) would probably be the most effective drug based on the selected criterions. CONCLUSIONS: Our study can help clinical scientists in being more selective in identifying and testing the therapeutic agents for COVID-19 treatment. The ML based approach for drug discovery as reported here can be a futuristic smart drug designing strategy for community applications.

Analysis of multi-sample pools in the detection of SARS-CoV-2 RNA for mass screening: An Indian perspective.

In the current COVID-19 crisis, many national healthcare systems are confronted with a huge demand for mass testing and an acute shortage of diagnostic resources. Considering group testing as a viable solution, this pilot study was carried out to find the maximum number of samples that can be pooled together to accurately detect one positive sample carrying the severe acute respiratory syndrome-coronavirus 2 viral RNA from different pools. We made different pool sizes ranging from 5 to 30 samples. Three positive samples, covering the common range of polymerase chain reaction (PCR) threshold cycle values (an indirect indicator of viral load) observed in our patients, were selected, and different pools were made with known negative samples. The pools underwent real-time qualitative PCR for the determination of effective maximum pool size. It was observed that up to 20-sample pools of all positive samples could accurately be detected in terms of both E gene and RdRp gene, leading to considerable conservation of resources, time and workforce. However, while deciding the optimal pool size, the infection level in that particular geographical area and sensitivity of the test assay used (limit of detection) have to be taken into account.