Knowledge, Attitude, and Practices Among Healthcare Practitioners in the Context of Multidrug Resistance Tuberculosis: An Appraisal to Disease Elimination

Introduction: Tuberculosis (TB) remains one of the leading infectious causes of death worldwide, and India is among the countries with the highest TB burden. TB control is facing several roadblocks in our country with the rapid development of multidrug-resistant (MDR) as well as extensively drug-resistant TB (XDR) and as an after-effect of the global COVID-19 pandemic. With the target of TB elimination by 2025 (National Tuberculosis Elimination Program, NTEP), there is a need that treating physicians in our country be well aware of MDR-TB and be able to diagnose and treat it at an appropriate time. The present study is conducted to explore the knowledge levels, attitudes, and practices concerning MDR-TB amongst healthcare professionals working in different healthcare sectors. Methods: A total of 250 allopathic medical practitioners (Bachelor of Medicine and Bachelor of Surgery [MBBS], specialists, and superspecialists) working in any sector (private or government), who are directly involved in managing any form of TB patient and are willing to undertake the assessment, were included in this online questionnaire-based survey that was circulated using various social media platforms like WhatsApp, Facebook, Linked In, and Gmail. Responses to the questionnaires created in Google Forms were analyzed by capturing data in a Microsoft Excel® spreadsheet for further statistical analysis. The data were analyzed using multiple measures of dispersion and cross-tabulations. Results: Among the 250 participants, most of the participants had encountered MDR-TB in their clinical practice, and the majority believe that MDR-TB is a rising problem. Although 88% of the participants did a GeneXpert assay before the start of anti-tubercular therapy (ATT), three-fourths of the participants knew that the assay detects the MTB genome and rifampicin resistance. MDR-TB was suspected in participants after no clinical improvement was observed after 3-6 weeks of a trial of ATT. Two-thirds of the participants knew that linezolid is currently being used as a second-line drug for the treatment of MDR- TB. The respondents in our survey mostly do not themselves treat MDR-TB and refer the patients to an MDR-TB center or a pulmonary medicine specialist. Conclusion: Healthcare practitioners (HCPs) with good knowledge levels can diagnose and treat TB patients appropriately, thus decreasing the rising MDR-TB problem, and they can educate patients and the general population about TB and the emerging MDR-TB situation. With the current level of knowledge about MDR-TB management, there is certainly an urgent need for educational and persuasive measures for the training of doctors in both the public and private sectors so as to achieve TB elimination by 2025.

The Threat of Impending Pandemics: A Proactive Approach.

The incessant occurrence of devastating health-related events, either on a large scale, such as pandemics, or in a local community in the form of sporadic outbreaks due to infectious agents, warrants a rapid, target-oriented, well-organized response team to combat the demonic consequences. While the world has been recovering from the clutches of the recent disastrous COVID-19 pandemic, the struggles against novel emerging and re-emerging pathogens such as monkeypox (mpox), newer evolving strains of influenza, Ebola, Zika, and the yellow fever virus continue to date. Therefore, a multisectoral, intercontinental, collaborative, interdisciplinary, and highly dedicated approach should always be implemented to achieve optimal health and avert future threats.

Gender and genetic factors impacting COVID-19 severity.

COVID-19 pandemic is a cause of global concern and is impacting lives and economy globally. Infection due to SARS-CoV-2 leads to varied clinical manifestations, which can vary from asymptomatic to severe acute respiratory syndrome and death. The clinical features are proposed to depend upon various host factors, namely, gender and genetic factors. The significantly high mortality among males has revealed the role of gender, androgens, age, genetics, and risk factors in determining the severity of COVID-19 among the population. The interplay of various host factors and their association with clinically severe infections is crucial for our understanding of COVID-19 pathogenesis. A PubMed and Google scholar search was made using keywords such as "COVID-19 + sex differences," "COVID-19 + androgens," "COVID-19 + ACE2 receptor," and "COVID-19 + smoking alcoholism pregnancy." The articles which highlight the association of gender and genetic factors to COVID-19 were selected and included in our study. It is mainly the primary care or family physicians who act as the first contact of COVID-19 patients. With the recent increase in SARS-CoV-2 infections in the Indian subcontinent and probability of upcoming surges, it has become imperative to understand its interaction with the various gender and genetic factors to devise effective triage and management protocols. Our review highlights the possible mechanisms by which these factors impact the severity of COVID-19. A better understanding of these factors will be of immense help to primary care physicians.

Long COVID following Omicron wave in Eastern India-A retrospective cohort study.

Long coronavirus disease (COVID) or postacute sequelae of coronavirus disease of 2019 (COVID-19) is widely reported but the data of long COVID after infection with the Omicron variant is limited. This study was conducted to estimate the incidence, characteristics of symptoms, and predictors of long COVID among COVID-19 patients diagnosed during the Omicron wave in Eastern India. The cohort of COVID-19 patients included were adults (≥18 years) diagnosed as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction. After 28 days of diagnosis; participants were followed up with a telephonic interview to capture data on sociodemographic, clinical history, anthropometry, substance use, COVID-19 vaccination status, acute COVID-19 symptoms, and long COVID symptoms. The long COVID symptoms were self-reported by the participants. Logistic regression was used to determine the predictors of long COVID. The median follow-up of participants was 73 days (Interquartile range; 67-83). The final analysis had 524 participants' data; among them 8.2% (95% Confidence Interval [CI]: 6%-10.9%) self-reported long COVID symptoms. Fatigue (34.9%) was the most common reported symptom followed by cough (27.9%). In multivariable logistic regression only two predictors were statistically significant-number of acute COVID-19 symptoms ≥ five (Adjusted odds ratio (aOR) = 2.95, 95% CI: 1.30-6.71) and past history of COVID-19 (aOR = 2.66, 95% CI: 1.14-6.22). The proportion of self-reported long COVID is considerably low among COVID-19 patients diagnosed during the Omicron wave in Eastern India when compared with estimates during Delta wave in the same setting.

Characteristics and predictors of Long COVID among diagnosed cases of COVID-19.

BACKGROUND: Long COVID or long-term symptoms after COVID-19 has the ability to affect health and quality of life. Knowledge about the burden and predictors could aid in their prevention and management. Most of the studies are from high-income countries and focus on severe acute COVID-19 cases. We did this study to estimate the incidence and identify the characteristics and predictors of Long COVID among our patients. METHODOLOGY: We recruited adult (≥18 years) patients who were diagnosed as Reverse Transcription Polymerase Chain Reaction (RTPCR) confirmed SARS-COV-2 infection and were either hospitalized or tested on outpatient basis. Eligible participants were followed up telephonically after four weeks and six months of diagnosis of SARS-COV-2 infection to collect data on sociodemographic, clinical history, vaccination history, Cycle threshold (Ct) values during diagnosis and other variables. Characteristics of Long COVID were elicited, and multivariable logistic regression was done to find the predictors of Long COVID. RESULTS: We have analyzed 487 and 371 individual data with a median follow-up of 44 days (Inter quartile range (IQR): 39,47) and 223 days (IQR:195,251), respectively. Overall, Long COVID was reported by 29.2% (95% Confidence interval (CI): 25.3%,33.4%) and 9.4% (95% CI: 6.7%,12.9%) of participants at four weeks and six months of follow-up, respectively. Incidence of Long COVID among patients with mild/moderate disease (n = 415) was 23.4% (95% CI: 19.5%,27.7%) as compared to 62.5% (95% CI: 50.7%,73%) in severe/critical cases(n = 72) at four weeks of follow-up. At six months, the incidence among mild/moderate (n = 319) was 7.2% (95% CI:4.6%,10.6%) as compared to 23.1% (95% CI:12.5%,36.8%) in severe/critical (n = 52). The most common Long COVID symptom was fatigue. Statistically significant predictors of Long COVID at four weeks of follow-up were-Pre-existing medical conditions (Adjusted Odds ratio (aOR) = 2.00, 95% CI: 1.16,3.44), having a higher number of symptoms during acute phase of COVID-19 disease (aOR = 11.24, 95% CI: 4.00,31.51), two doses of COVID-19 vaccination (aOR = 2.32, 95% CI: 1.17,4.58), the severity of illness (aOR = 5.71, 95% CI: 3.00,10.89) and being admitted to hospital (Odds ratio (OR) = 3.89, 95% CI: 2.49,6.08). CONCLUSION: A considerable proportion of COVID-19 cases reported Long COVID symptoms. More research is needed in Long COVID to objectively assess the symptoms and find the biological and radiological markers.

Tuberculosis and COVID-19: An epidemic submerged in the pandemic: A case series and review of current literature

Tuberculosis (TB), the leading infectious cause of death worldwide, like coronavirus disease 2019 (COVID-19), is mainly transmitted through the respiratory route and affects the lungs. Though TB-COVID co-infection is not common, but might be missed due to similar clinical presentation. Therefore, a high index of suspicion of co-infections is needed so that there is prompt diagnosis and appropriate treatment. A higher mortality of 13% in cases of co infections is alarming. Here we are reporting a case series of SARS-CoV-2 – TB co-infection from Eastern India.

Comparison of Clinical Presentation and Vaccine Effectiveness Among Omicron and Non-omicron SARS Coronavirus-2 Patients.

Introduction The rapidly mutating Omicron SARS-CoV-2 variant has replaced the previous dominant SARS-CoV-2 variants like alpha, and delta resulting in the amplification of coronavirus disease 2019 (COVID-19) cases. The present study was conducted to compare the clinical profile and vaccination status in patients infected with Omicron and non-Omicron SARS-CoV-2 variants. Methods All patients who tested positive for coronavirus disease 2019 (COVID-19) during the study period (January 2022 to February 2022) were further tested for detection of SARS-CoV-2 Omicron variant by using Omisure kit (TATA MD CHECK RT-PCR, TATA MEDICAL AND DIAGNOSTICS LIMITED, Tamil Nadu, INDIA). Clinico-demographic factors and vaccination status were compared between both Omicron and non-Omicron groups. Results A total of 1,722 patients who tested positive for COVID-19 were included in the study, of which 656 (38.1%) were Omicron and 1,066 (61.9%) were non-Omicron SARS-CoV-2 variants. Blood group and vaccination status were the major predictors for Omicron. The proportion of male patients was 58.4% in the Omicron group and 57.9% in the non-Omicron group. Maximum cases (86.2%) belonged to >18-60 years age group, 7.3% to >60 years age group, and least to 0-18 years (6.5%). The average age of the study participants was 35.4 ± 14.5 years. Vaccinated participants had less chance of having Omicron than the unvaccinated participants (p-value - 0.003). Fever and loss of smell were found to be significantly associated with the non-Omicron SARS-CoV-2 variant. (p-value < 0.05). Conclusion The present study reflects that the clinical course of the disease is milder in Omicron as compared to the non-Omicron variant. However rapid rise in cases can badly affect the healthcare system demanding good preparedness to tackle all the predicaments. Good Vaccination coverage should be of utmost priority irrespective of the variant type.

Clinico-Epidemiological Characteristics of Healthcare Workers with SARS-CoV-2 Infection during the First and Second Waves in a Teaching Hospital from Eastern India: A Comparative Analysis.

In this retrospective observational study, we have performed a comparative analysis of the demographic, clinical and epidemiological characteristics of the HCWs affected with SARS-CoV-2 infection during first two waves in India. The overall prevalence of SARS-CoV-2 infection among HCWs was found to be 15.24% (14.20-16.33) and 23.38% (22.14-25.65) during first and second waves respectively. The second wave showed an adjusted odds ratio of 0.04(0.02-0.07) and 2.09(1.49-2.93) for hospitalization and being symptomatic, respectively. We detected significantly higher level of C-reactive protein (CRP) among admitted HCWs during the second wave (5.10 -14.60 mg/dl) as compared to the first wave (2.00 - 2.80 mg/dl). Our study found the relative risk of SARS-CoV-2 reinfection among HCWs during the second wave to be 0.68 [0.57-0.82, p < 0.001)]. Although, the prevalence of SARS CoV-2 infection and risk of being symptomatic was higher during second wave, the risk of hospitalization was less when compared with the first wave.

Comparison of Cycle Threshold and Clinical Status Among Different Age Groups of COVID-19 Cases.

Introduction The COVID-19 pandemic has shaken the entire world ever since its emergence in March 2020. The disease manifestation of COVID-19 has been more severe, with a high degree of mortality in the elderly than in the young population. The cycle threshold (Ct ) value obtained in the real-time polymerase chain reaction (RT-PCR) has been used as the surrogate marker of viral load. Therefore, assessing Ct value and clinical status among different age groups with SARS-CoV-2 infection is required to understand the viral kinetics and to assess the transmission potential of that particular age group. Purpose The aim of this study was to compare the viral load and clinical status among different age groups with COVID-19 infection. Methods and materials A retrospective cross-sectional study was carried out to analyze the Ct values of SARS-CoV-2 positive samples reported from April 2020 till May 2021. The results of 13,820 RT-PCR (reverse transcriptase-polymerase chain reaction) positive samples were included for analysis of Ct values. Ct values of confirmatory genes were taken into consideration, and Ct values below 25, >25 to 30, and >30 were categorized as high, moderate, and low viral load, respectively. Age group was stratified into ≤18 years (young), 18-60 years (adult), and >60 years (elderly). The data were analyzed using SPSS Windows Version 25.0. Results The mean Ct values were 27.9, 26, and 26.2 in the young, adult, and elderly age groups, respectively. The mean Ct values of young patients were significantly higher as compared to adult and elderly patients (p<0.05). The percentage of high viral load (Ct<25) was found to be significantly higher in adults and elderly (44.6% & 43.7%) as compared to young (32.2%) (p<0.001). Majority of the COVID-19 positive cases younger than 18 years (75.9%) were asymptomatic as compared to 64.5% and 59.7% in the adult and elderly age groups, respectively. Conclusion This study observed a significantly high proportion of viral load in the adult and elderly population, which plays a substantial contribution to SARS-CoV-2 transmission, whereas the majority of the young population being asymptomatic plays a major role as silent transmitters. The study reemphasizes the need for strict adherence to COVID-appropriate behaviors.

Clinical review of COVID-19 in children and adolescents with cancer: Experience from a tertiary care center in East India.

Children with underlying cancer are often immunocompromised. Data on severity of coronavirus disease 2019 (COVID-19) in children with cancer and its outcomes is emerging. Treatment protocols of specific cancers are decided based on the infrastructure, availability of supportive-care, and logistic issues of the locality. The purpose of the study was clinical analysis of COVID-19 in children and adolescents with cancer. The retrospective observational study was conducted at a tertiary healthcare-center in East India. Children and adolescents (aged 0-19 years) with cancer and under treatment with reverse-transcriptase-polymerase-chain-reaction (RT-PCR) confirmed COVID-19 between 5-July-2020 and 5-December-2020 were studied. Median age of the 68 identified patients was six years. Acute leukemia was the most common (66%) diagnosis. COVID-19 was asymptomatic/mildly symptomatic in 91% and moderate to severe in only 9% of patients. Fever (87%) was the commonest symptom, followed-by cough/coryza (75%). Three patients with acute myeloid leukemia (AML) and severe/critical COVID-19 and associated neutropenic sepsis were required transfer to the intensive-care-unit (ICU) for management. Three (4.4%) patients succumbed with COVID-19. Delay in treatment was observed in 63.2% of patients, and the median duration of delay was 28 days after acquiring COVID-19. Median time to attain negative COVID-19 RT-PCR was 16 days, and eight patients were repeat positives. While pediatric and adolescent cancer patients on active treatment may have a higher risk of mortality from severe COVID-19 than their healthy counterparts, the risk may be much lower than deemed. It is essential to continue cancer therapy in these children. Delay in treatment remains a concern.

High proportion of low cycle threshold value as an early indicator of COVID-19 surge.

Many countries in the world are experiencing a recent surge in COVID-19 cases. This is mainly attributed to the emergence of new SARS-CoV-2 variants. Genome sequencing is the only means to detect the evolving virus mutants and emerging variants. Cycle threshold values have an inverse relationship with viral load and lower Ct values are also found to be associated with increased infectivity. In this study, we propose to use Ct values as an early indicator for upcoming COVID-19 waves. A retrospective cross-sectional study was carried out to analyze the Ct values of positive samples reported during the first wave and second wave (April 2020-May 2021). Median Ct values of confirmatory genes were taken into consideration for comparison. Ct values below 25, >25-30, and >30 were categorized as high, moderate, and low viral load respectively. Our study found a significantly higher proportion of positive samples with a low Ct value (<25) across age groups and gender during the second wave of the COVID-19 pandemic. A higher proportion of positive samples with a low Ct value (high viral load) may act as an early indicator of an upcoming surge.

Late manifestation of follicular conjunctivitis in ventilated patient following COVID-19 positive severe pneumonia

A 65-year-old known diabetic, hypertensive, and asthmatic patient was admitted for suspected coronavirus disease 19 (COVID-19) infection following complaints of breathlessness. He tested positive for COVID-19 and was put on ventilation. He developed severe follicular conjunctivitis of the right eye while on a ventilator, which was treated conservatively. The resolution of ocular signs was noted over 2 weeks without any complications. This case highlights the timeline of events and discusses the late ophthalmic manifestations in patients with COVID-19 infection.

Seroprevalence of SARS-CoV-2 antibodies among healthcare workers in a teaching hospital in Eastern India.

STATEMENT OF THE PROBLEM: Healthcare workers (HCW) are the most vulnerable group for contracting SARS-CoV-2. Assessment of seroprevalence of SARS-CoV-2 antibodies among HCW, thus can provide important data on pathogen exposure, infectivity, and adherence to personal protective equipment (PPE). The present study aimed at assessing SARS-CoV-2 seroprevalence among HCW and exploring associations with demographics, category of exposure to COVID-19 patients, preventive measures taken and relation with COVID-19 symptoms. METHOD OF STUDY: HCWs with a minimum gap 2 weeks from last duty were eligible to participate in the study. The enrolled HCW were categorized into high-risk and low-risk category based on work in COVID-19 areas. HCWs SARS-CoV-2 specific IgG and IgM antibodies were detected using rapid immunochromatography test. RESULTS: Out of 821 randomly selected HCWs, either IgM or IgG antibody was detected in 32 HCWs (32/821, 3.9%). Only IgM antibodies were detected in 14 (1.7%), only IgG was detected in 9 (1.0%), and both IgM and IgG antibodies were present in 9 HCWs. Seropositivity was significantly higher in high-risk category (5.7% vs. 2.2.%), HCWs who ever had COVID-19 related symptoms in last 3 months (5.6% vs. 2.8%), and those who had earlier tested positive for SARS-CoV-2 with real-time reverse transcriptase PCR (36.6% vs. 3.5%). Seroprevalence was highest (6.9%) among housekeeping and sanitation staff. CONCLUSIONS: Overall, low seroprevalence of SARS-CoV-2 antibodies in our HCWs is an indicator of effective infection control practice. HCW posted in dedicated COVID ward need more stringent implementation of infection prevention measures.

Hospital-Based Contact Tracing of Patients With COVID-19 and Health Care Workers During the COVID-19 Pandemic in Eastern India: Cross-sectional Study.

BACKGROUND: The contact tracing and subsequent quarantining of health care workers (HCWs) are essential to minimizing the further transmission of SARS-CoV-2 infection and mitigating the shortage of HCWs during the COVID-19 pandemic situation. OBJECTIVE: This study aimed to assess the yield of contact tracing for COVID-19 cases and the risk stratification of HCWs who are exposed to these cases. METHODS: This was an analysis of routine data that were collected for the contact tracing of COVID-19 cases at the All India Institute of Medical Sciences, Bhubaneswar, in Odisha, India. Data from March 19 to August 31, 2020, were considered for this study. COVID-19 cases were admitted patients, outpatients, or HCWs in the hospital. HCWs who were exposed to COVID-19 cases were categorized, per the risk stratification guidelines, as high-risk contacts or low-risk contacts. RESULTS: During contact tracing, 3411 HCWs were identified as those who were exposed to 360 COVID-19 cases. Of these 360 cases, 269 (74.7%) were either admitted patients or outpatients, and 91 (25.3%) were HCWs. After the risk stratification of the 3411 HCWs, 890 (26.1%) were categorized as high-risk contacts, and 2521 (73.9%) were categorized as low-risk contacts. The COVID-19 test positivity rates of high-risk contacts and low-risk contacts were 3.8% (34/890) and 1.9% (48/2521), respectively. The average number of high-risk contacts was significantly higher when the COVID-19 case was an admitted patient (number of contacts: mean 6.6) rather than when the COVID-19 case was an HCW (number of contacts: mean 4.0) or outpatient (number of contacts: mean 0.2; P=.009). Similarly, the average number of high-risk contacts was higher when the COVID-19 case was admitted in a non-COVID-19 area (number of contacts: mean 15.8) rather than when such cases were admitted in a COVID-19 area (number of contacts: mean 0.27; P<.001). There was a significant decline in the mean number of high-risk contacts over the study period (P=.003). CONCLUSIONS: Contact tracing and risk stratification were effective and helped to reduce the number of HCWs requiring quarantine. There was also a decline in the number of high-risk contacts during the study period. This indicates the role of the implementation of hospital-based, COVID-19-related infection control strategies. The contact tracing and risk stratification approaches that were designed in this study can also be implemented in other health care settings.

Nonsevere Acute Respiratory Syndrome Human Coronaviruses in Children Hospitalized with Acute Lower Respiratory Infection.

BACKGROUND: The nonzoonotic (nonsevere acute respiratory syndrome (SARS)/Middle East respiratory syndrome) human coronaviruses (HCoVs) are usually considered as the causative agent for acute respiratory infection. We studied the characteristics and outcome of children with non-SARS HCoV acute lower respiratory infection (ALRI). METHODS: This was a cross-sectional study from a tertiary care teaching hospital in eastern India. RESULTS: Of 137 samples tested positive for respiratory viruses, 13 were due to HCoV (7 boys, median age: 2 years). Cough was the most common symptom, followed by breathing difficulty and fever. An underlying comorbid condition present in 38.4%. Co-infection with other viruses was seen in 69% of cases. Chest radiograph was abnormal in 69.3% of children. Antibiotics were administered in 53.8%. The median length of hospitalization was 5 d, irrespective of underlying disease. There was no mortality. CONCLUSIONS: HCoV is an uncommon but increasingly recognized cause of ALRI in hospitalized children. No severe illness was found in children with underlying comorbidities. This study underscores the importance of HCoV in causation of childhood ALRI, necessitating a surveillance system in India.

Clinical Profile and Risk Factors for Severe Disease in 402 Children Hospitalized with SARS-CoV-2 from India: Collaborative Indian Pediatric COVID Study Group.

INTRODUCTION: There is a lack of large multicentric studies in children with COVID-19 from developing countries. We aimed to describe the clinical profile and risk factors for severe disease in children hospitalized with COVID-19 from India. METHODS: In this multicentric retrospective study, we retrieved data related to demographic details, clinical features, including the severity of disease, laboratory investigations and outcome. RESULTS: We included 402 children with a median (IQR) age of 7 (2-11) years. Fever was the most common symptom, present in 38.2% of children. About 44% had underlying comorbidity. The majority were asymptomatic (144, 35.8%) or mildly symptomatic (219, 54.5%). There were 39 (9.7%) moderate-severe cases and 13 (3.2%) deaths. The laboratory abnormalities included lymphopenia 25.4%, thrombocytopenia 22.1%, transaminitis 26.4%, low total serum protein 34.7%, low serum albumin 37.9% and low alkaline phosphatase 40%. Out of those who were tested, raised inflammatory markers were ferritin 58.9% (56/95), c-reactive protein 33.3% (41/123), procalcitonin 53.5% (46/86) and interleukin-6 (IL-6) 76%. The presence of fever, rash, vomiting, underlying comorbidity, increased total leucocyte count, thrombocytopenia, high urea, low total serum protein and raised c-reactive protein was factors associated with moderate to severe disease. CONCLUSION: Fever was the commonest symptom. We identified additional laboratory abnormalities, namely lymphopenia, low total serum protein and albumin and low alkaline phosphatase. The majority of the children were asymptomatic or mildly symptomatic. We found high urea and low total serum protein as risk factors for moderate to severe disease for the first time.