Compassion satisfaction, burnout, and secondary traumatic stress among nurses after the second wave of the COVID-19 pandemic.

Background: Nurses frequently experience compassion fatigue and burnout, which impact their personal lives and patient care. The COVID-19 pandemic additionally caused stress, uncertainty, and fear of death among healthcare professionals. Aim: To assess professional quality of life (ProQoL) among nurses after the second wave of the COVID-19 pandemic. Material and Methods: A web-based cross-sectional study was conducted among 203 nurses using a purposive sampling technique in the month of September to December 2021. Data were collected using a self-administered ProQoL scale version 5. Statistical Analysis: Descriptive and inferential statistics were used. Kolmogorov-Smirnov test, Mann-Whitney U, and Kruskal-Wallis H test were used. Bivariate correlations were used to correlate the main variables. Multiple linear regression analysis was also performed. Results: The majority of the nurses reported a moderate level of compassion satisfaction (CS) (62.6%), burnout (BO) (66.0%), and secondary traumatic stress (STS) (63.1%). Residence and education emerged as a factor whether the nurses experienced BO or STS, respectively. Additionally, CS negatively correlated with BO (r = -0.732: P < 0.001) and STS (r = -0.141: p-0.04). Conclusions: The majority of the nurses experienced moderate levels of CS, BO, and STS after the second wave of the COVID-19 crisis and nurse patient-ratio emerged as a significant factor to predict CS, BO, or STS. Hence, effective measures need to be implemented by hospital administration to enhance the nurses' satisfaction and reduce fatigue and burnout.

Impact of the second wave of COVID-19 pandemic on food security among Ho indigenous community of Jharkhand, India.

Background: Food insecurity and hunger are global concerns further exacerbated by the unprecedented COVID-19 pandemic. There is a need to understand the depth of this impact, especially among smallholder farmers, and recognize specific coping strategies that offered resilience to inform preparedness in future. The present cross-sectional study assessed the impact of the second wave of COVID-19 pandemic on different dimensions of food security among smallholder farmers of Ho indigenous community of Jharkhand, India. It also explored potential resilient attributes of their food systems. Results: Most of the respondents (67.2%) reported reduced food consumption at the household (HH) level. Majority faced difficulty in accessing food from different food sources; however, easier access to government food security programmes was highlighted. Around 40% reported change in their ability to purchase farming inputs. Market vendors reported disruptions in food procurement owing to travel restrictions; however, no change was reported for home-produced foods in agricultural lands/kitchen gardens. Prices of indigenous foods produced locally decreased/remained same; however, for cereals, pulses, and other HH staples, prices increased during second wave. Difficulty in accessing wild food environment (OR: 1.7, CI 0.40, 7.75), change in food prices (OR: 19.9, CI 5.25, 76.02), decrease in HH income (OR: 9.2, CI 2.99, 28.60) were found to be significantly associated with reduction in HH food consumption (p < 0.01). The coping strategies adopted by the community included sale of cultivated and wild produce in local weekly markets to ensure additional income. Conclusions: The findings highlight the need to reinforce the traditional ecological knowledge of the Ho community and focus on practices around their food systems, engrained into their socio-cultural ecosystems that may offer resilience against future stresses. In addition, the need of systemic support to ensure the social and economic well-being of the community needs to be prioritized.

ERß Regulation of Indian Hedgehog Expression in the First Wave of Ovarian Follicles.

Increased activation of ovarian primordial follicles in Erß knockout (ErßKO) rats becomes evident as early as postnatal day 8.5. To identify the ERß-regulated genes that may control ovarian primordial follicle activation, we analyzed the transcriptome profiles of ErßKO rat ovaries collected on postnatal days 4.5, 6.5, and 8.5. Compared to wildtype ovaries, ErßKO ovaries displayed dramatic downregulation of Indian hedgehog (Ihh) expression. IHH-regulated genes, including Hhip, Gli1, and Ptch1, were also downregulated in ErßKO ovaries. This was associated with a downregulation of steroidogenic enzymes Cyp11a1, Cyp19a1, and Hsd17b1. The expression of Ihh remained very low in ErßKO ovaries despite the high levels of Gdf9 and Bmp15, which are known upregulators of Ihh expression in the granulosa cells of activated ovarian follicles. Strikingly, the downregulation of the Ihh gene in ErßKO ovaries began to disappear on postnatal day 16.5 and recovered on postnatal day 21.5. In rat ovaries, the first wave of primordial follicles is rapidly activated after their formation, whereas the second wave of primordial follicles remains dormant in the ovarian cortex and slowly starts activating after postnatal day 12.5. We localized the expression of Ihh mRNA in postnatal day 8.5 wildtype rat ovaries but not in the age-matched ErßKO ovaries. In postnatal day 21.5 ErßKO rat ovaries, we detected Ihh mRNA mainly in the activated follicles in the ovaries' peripheral regions. Our findings indicate that the expression of Ihh in the granulosa cells of the activated first wave of ovarian follicles depends on ERß.

First and Second Waves of Covid-19: A Comparative Study of the Clinical Presentation and Outcome among Hospitalized Patients in Lagos Nigeria.

OBJECTIVE: Nigeria experienced many waves of the COVID-19 pandemic. This study compared the clinical presentations and mortality among hospitalized patients during the first and second waves of the pandemic in Lagos State, Nigeria. METHODS: A retrospective cohort study was conducted. Deidentified medical records of laboratory-confirmed COVID-19 patients admitted into 15 isolation centers in Lagos, Nigeria between February 27, 2020, and September 30, 2020 (first wave) and October 1, 2020, and April 30, 2021 (second wave) were reviewed. IBM Statistics version 25 was used for data analysis. RESULTS: More patients were hospitalized during the first wave of the pandemic. The mean age of patients was higher during the second wave (54.5±15.8 years vs. 42.2±15.5 years, p <0.001). More patients admitted during the second wave had comorbidities (56.0% vs 28.6%, p <0.001), were symptomatic (90.8% vs 52.0%, p <0.001), had severe COVID-19 disease (58.9% vs 25%, p <0.001) and died (14.9% vs 6.4%, p<0.001) compared with the first wave. The odds of death increased with age and severity of COVID-19 disease during the first and second waves. CONCLUSION: A higher proportion of the patients admitted in Lagos, Nigeria during the second wave were older, had comorbidities, and had severe COVID-19 disease than the first wave. Despite the fewer hospitalized patients, there were more deaths during the second wave.

OBJECTIF: Le Nigeria a connu plusieurs vagues de la pandémie de la COVID-19. Cette étude a comparé les présentations cliniques et la mortalité chez les patients hospitalisés lors des première et deuxième vagues de la pandémie dans l'État de Lagos, Nigeria. MÉTHODES: Une étude de cohorte rétrospective a été réalisée. Les dossiers médicaux déidentifiés des patients atteints de la COVID-19 confirmée par laboratoire, admis dans 15 centres d'isolement à Lagos, Nigeria, entre le 27 février 2020 et le 30 septembre 2020 (première vague) et entre le 1er octobre 2020 et le 30 avril 2021 (deuxième vague), ont été examinés. IBM Statistics version 25 a été utilisé pour l'analyse des données. RÉSULTATS: Un plus grand nombre de patients ont été hospitalisés lors de la première vague de la pandémie. L'âge moyen des patients était plus élevé lors de la deuxième vague (54,5±15,8 ans vs. 42,2±15,5 ans, p <0,001). Un plus grand nombre de patients admis lors de la deuxième vague avaient des comorbidités (56,0% vs. 28,6%, p <0,001), étaient symptomatiques (90,8% vs. 52,0%, p <0,001), avaient une forme grave de la maladie à la COVID-19 (58,9% vs. 25%, p <0,001) et sont décédés (14,9% vs. 6,4%, p<0,001) par rapport à la première vague. Les chances de décès ont augmenté avec l'âge et la gravité de la maladie à la COVID-19 lors des première et deuxième vagues. CONCLUSION: Une proportion plus élevée des patients admis à Lagos, Nigeria, lors de la deuxième vague étaient plus âgés, avaient des comorbidités et présentaient une forme grave de la maladie à la COVID-19 par rapport à la première vague. Malgré un nombre moindre de patients hospitalisés, il y a eu plus de décès lors de la deuxième vague. MOTS-CLÉS: Présentation Clinique, Covid-19, Première Vague, Mortalité, Nigeria, Deuxième Vague.

Quantification of extravasation and binding of PSMA-targeted nanobubbles by modelling the second-wave phenomenon.

PURPOSE: With about ten-fold smaller diameter than MBs, nanobubbles (NBs) were developed as new-generation ultrasound contrast agents (UCA) able to extravasate and target specific receptors expressed on extravascular cancer cells, such as the prostate-specific membrane antigen (PSMA). It has been shown that PSMA-targeted NBs (PSMA-NBs) can bind to specific prostate cancer (PCa) cells and exhibit a prolonged retention effect (PRE), observable by NB-based CEUS (NB-CEUS). However, previous analyses of PRE were mainly limited to the semi-quantitative assessment of the time-intensity curve (TIC) in an entire tumor ROI, possibly losing information on tumor spatial heterogeneity and local characteristics. When analyzing the pixel-level TICs of free NB-based CEUS, we observed a unique second-wave phenomenon: The first pass of the NB wave (bolus) is usually accompanied by a second wave in the time range of 3 to 15 min after the bolus injection. Such a phenomenon was shown to be potentially valuable in supporting the diagnostics of cancerous lesions. PROCEDURES: Seven male athymic nude mice were included and implanted with a tumor expressing PSMA (PSMA+) and tumors not expressing PSMA (PSMA-) on two flanks. Using either free NBs or PSMA-NBs, the characteristics of pixel-level TICs were estimated by a specialized model accounting for the two-wave phenomenon, compared with a conventional model describing only one wave. The estimated parameters by the two models were presented as parametric maps to visualize the PRE of PSMA-NBs in a dual-tumor mouse model. The effectiveness of the two models were also assessed by comparing the estimated parameters in the PSMA+ and PSMA- tumors through Mann-Whitney U test and quartile difference. RESULTS: Two parameters, the peak time and residual factor of the second wave, by the second-wave model were significantly different between PSMA+ and PSMA- tumors when using PSMA-NBs. Compared with the TICs of free NBs, TICs of PSMA-NBs present higher peak intensity and a more delayed second wave, especially in the PSMA+ tumor. CONCLUSIONS: The estimation of parametric maps allows the estimation and visualization of specific binding of PSMA-NBs in PCa. The incorporation of the second-wave phenomenon enrich our understanding of NB kinetics in vivo and can possibly contribute to improved diagnostics of PCa in the future.

Clinical, Demographic, and Oral Presentations of COVID-19 Associated Mucormycosis from a Tertiary Care Hospital in India: A Cross-Sectional Study.

Background: The black fungus, mucormycosis, is on the list of lethal complications reported in recent times in COVID patients. Methodology: This cross-sectional study included all cases of post-COVID-19 mucormycosis. Patients' demographics, clinical presentations, and general health information were collected using a pre-designed form. Results: The study included 171 participants with the mean (SD) age as 49 (10) years with the sex distribution as 71% (122/171) male and 29% (49/122) females. About half of the admitted patients (47%) were known cases of Diabetes Mellitus type II with a median (IQR) Glycosylated Haemoglobin (HbA1c) of 9.1% (7-11.1%). Only 28% (48/171) had received the first COVID vaccination, and 2.9% (5/171) were fully vaccinated with two doses. During COVID-19, 76% (130/171) required hospitalisation for a mean (SD) stay of 11 (6.4) days. Eighty percent of the patients (136/171) received steroids during therapy, while 87% (150/171) and 51% (88/171) received antibiotics and antivirals, respectively. Oxygen was administered to 71% of hospitalised patients (120/171), with 39.1% (47/120) receiving it for more than 7 days. About the development of the first symptoms of mucormycosis (headache, nasal congestion, black crusts in the nose, facial pain, swelling in cheeks and eyes, and loss of vision) after being diagnosed with COVID-19, 16% (28/171) reported it within 7 days, 75% (127/171) between 8 and 30th days and 9% (16/171) after a month. On examination, 20% of mucor patients had hard palate findings, eschars, fistulas, and perforations, 38% had periodontal abscesses, and 5% reported tenderness to percussion. Conclusion: Generally, oral manifestations involved the palate and included varying degrees of mucosal discolouration, swelling, ulcers, superficial necrotic areas, and bone exposure and necrosis with dark eschars.

COVID-19 vaccine acceptance in the second wave of the pandemic among university students in Ethiopia: application of the health belief model.

Background: The first case of COVID-19 virus was reported in Africa on 14 February 2020. The pandemic became more aggressive in the continent during the second wave than the first wave. Promoting vaccination behavior is an unparalleled measure to curb the spread of the pandemic. Regarding this, the health belief model (HBM) is the major model for understanding health behaviors. This study aimed to examine predictors of intended COVID-19 vaccine acceptance in the second wave of the pandemic among university students in Ethiopia using HBM. Methods: A cross-sectional study was conducted among 423 randomly selected medical and health science students at the University of Gondar from 21 August to 15 September 2020. Analysis of data was performed using STATA 14.0. Linear regression analysis was applied and a p value of less than 0.05 was used to declare statistical significance. Results: Among the total participants, 293 [72.2% (95.0%: CI: 67.2-76.8)] of them scored above the mean of COVID-19 vaccine acceptance. HBM explained nearly 46.3% (adjusted R2 = 0.463) variance in intention to receive the COVID-19 vaccine. Year of study (ß = 0.288; 95% CI: 0.144-0.056), using social media (ß = 0.58; 95% CI: 1.546-2.804), existing chronic disease (ß = 0.12; 95% CI: 0.042-0.433), perceived overall health condition (ß = 0.117; 95% CI: 0.307-0.091), perceived susceptibility (ß = 0.58; 95% CI: 1.546-2.804), perceived benefit (ß = 0.338; 95% CI: 1.578-2.863), and cues to action (ß = 0.49; 95% CI: 0.388-0.99) were significantly associated with intended COVID-19 vaccine acceptance at p value < 0.5. Conclusion: Approximately, three-quarters of the participants were above the mean score of COVID-19 vaccine acceptance, which is higher compared to previous reports in resource-limited settings. Interventions in this study setting chould include placing emphasis on the risks of acquiring COVID-19, enhancing perceived benefits of COVID-19 vaccination and improving cues to action by advocating COVID-19 vaccination. Our findings also implied that social media health campaigns are significant factor in COVID-19 vaccination behavioral change in this study setting.

Comparison of Risk Factors During First and Second Wave of COVID-19 in Patients with Autoimmune Rheumatic Diseases (AIRD): Results from KRACC Subset.

Background: The differential influence and outcome of various risk factors on occurrence of COVID-19 among patients with autoimmune rheumatic diseases (AIRD) during different COVID-19 peaks is underreported. Aim: To assess the impact and outcome of conventional risk factors, immunosuppressants, and comorbidities on the risk of COVID-19 among AIRD patients during the first two COVID-19 peaks. Design: Prospective, non-interventional longitudinal cohort study. Methods: This is a subset of the KRA COVID19 cohort undertaken during the initial wave of COVID-19 (W1) (Apr-Dec2021); and the 2nd-wave (W2) (Jan-Aug2021). Data collected included description of AIRD subsets, treatment characteristics, comorbidities, and COVID-19 occurrence. Risk factors associated with mortality were analysed. The incidence rate was compared with that of the general population in the same geographic region. Results: AIRD patients (n=2969) had a higher incidence of COVID-19 in the W2 (7.1%) than in the W1 (1.7%) as compared to the general population (Government bulletin). Age (p<0.01) and duration of AIRD (p<0.001) influenced COVID-19 occurrence in W2 while major disease subsets and immunosuppressants including glucocorticoids did not. The W2 had lower HCQ usage (Adjusted Odds Ratio [AOR]-0.81) and comorbidities like hypertension (AOR -0.54) and pre-existing lung disease (AOR -0.38;0.19-0.75) compared to W1. Older age (1.11) and coexistent diabetes mellitus (AOR 6.74) were independent risk factors associated with mortality in W2. Conclusions: We report 1.7 times higher occurrence, and no influence of major disease subsets or immunosuppressants including glucocorticoids on COVID-19. Age and diabetes were independent risk factors for mortality.

Interleukin-6 and Its Soluble Receptor Complex in Intensive Care Unit COVID-19 Patients: An Analysis of Second Wave Patients.

In December 2019, a SARS-CoV-2 virus, coined Coronavirus Disease 2019 (COVID-19), discovered in Wuhan, China, affected the global population, causing more than a million and a half deaths. Since then, many studies have shown that the hyperinflammatory response of the most severely affected patients was primarily related to a higher concentration of the pro-inflammatory cytokine interleukin-6, which directly correlated with disease severity and high mortality. Our study analyzes IL-6 and its soluble receptor complex (sIL-6R and sgp130) in critically ill COVID-19 patients who suffered severe respiratory failure from the perspective of the second COVID wave of 2020. A chemiluminescent immunoassay was performed for the determination of IL6 in serum together with an enzyme-linked immunosorbent assay to detect serum levels of sIL-6R and sgp130, which confirmed that the second wave's serum levels of IL-6 were significantly elevated in the more severe patients, as with the first 2019 COVID-19 wave, resulting in adverse clinical outcomes. At present, considering that no specific treatment for severe COVID-19 cases in its later stages exists, these molecules could be considered promising markers for disease progression, illness severity, and risk of mortality.

Transmission of Variant Creutzfeldt-Jakob Disease Through Blood Transfusion and Plasma-Derived Products: A Narrative Review of Observed and Modeled Risks.

Secondary transmission of variant Creutzfeldt-Jakob disease (vCJD) can occur through blood transfusion or receipt of plasma-derived products. However, published reviews on this topic are outdated, focused on a single country or product type, or did not comprehensively review modeling studies on the risk of transfusion-transmission. We reviewed existing data on observed and modeled risks of transfusion-transmission of vCJD. To date, five patients are suspected to have acquired clinical vCJD or a vCJD infection after receiving a blood or plasma-derived product from a donor who later developed clinical vCJD. All of these cases received a nonleukodepleted blood-derived product in the United Kingdom between 1994 and 1999. Thus, all transfusion-associated cases occurred before the adoption of universal leukodepletion in 1999, which supports the preferential tropism of vCJD for leukocytes. In descriptive cohort studies, no cases of clinical vCJD were observed over ∼13 years of follow-up. In modeling studies, the risk of collecting a contaminated donation was generally <23 per million donations, that of infection was generally <10 per million transfusions or doses, and that of clinical vCJD was generally <2 per million transfusions or doses. These low risk estimates and the two-decade long absence of new cases of transfusion-associated vCJD suggest vCJD poses minimal risks to the safety of the blood supply. Furthermore, despite concerns of a second wave driven by individuals harboring a non-MM genotype at codon 129 of PRNP, there has been only 1 autopsy-confirmed case of clinical vCJD in an MV individual in 2016. The current trend to reassess or (in some countries) fully withdraw the blood donation criteria related to vCJD therefore seems justified, safe, and may significantly expand the donor base.

COVID-19 Mortality in the Delta Wave in India: A Hospital-Based Study From Ramanagara District, Karnataka.

INTRODUCTION: Coronavirus 19 (COVID-19) disease spread rapidly over the world since its inception in December 2019 in Wuhan, China. India too was crippled by the burden of high caseloads and deaths. The first death caused by COVID-19 in Karnataka was reported on March 13, 2020. There is a plethora of information on the descriptive statistics, epidemiology, and management of COVID-19 cases. However, there has not been an in-depth and extensive exploration of COVID-19 mortality data in terms of published research from India. The study area was a 300 bedded tertiary care center in Ramnagara district, Karnataka. During the second wave, 150 beds were dedicated to COVID-19 cases referred from government centers. This study was carried out to assess the in-hospital mortality at this institute during the second wave. The expected outcome of this study was to shed light on co-morbidities associated with mortality, the age and sex distribution in mortality, and any other significant factors influencing mortality due to COVID-19. METHODOLOGY: A hospital-based, retrospective, and observational-analytical study was carried out during April-August 2021, the second wave of COVID-19. The data included all deaths recorded in-hospital during the dedicated COVID-19 referral center status. Data were collected from case sheets and mortality audit forms that included basic demographics, symptoms, co-morbidities, admission pathway, transfer to ICU, oxygen therapy, ventilator requirement, duration of hospitalization, laboratory profile, and management modalities prior to death. Data were compiled into Microsoft Excel and were analyzed with JASP software (open source). Data were interpreted in terms of frequencies, averages with standard deviation, and bivariate and multivariate analysis. RESULTS:  We analyzed mortality audits of 91 adult patients and one neonate. The male-to-female ratio was 1.67:1 (> 60% male), with an average age of 53.4 years (standard deviation 15.4 years). Most of the patients fell in the age range of 36 to 65 years (65%). The average duration was 5.6 days (range 0-35 days). The most common symptom was fever (84, 92.31%), followed by breathlessness (77, 84.62%) and fatigue (65, 71.43%). Only 10 had a positive contact history and only one patient reported travel to a containment zone. The source of infection was indeterminate in the majority of cases. Diabetes mellitus and hypertension were the commonest associated comorbidities. Almost three-quarters of the patients were tachypneic at admission and nearly 90% had low levels which included 43 patients with critically low SpO2. The inflammatory indicators, such as WBC count, CRP, and d-dimer, were raised in many patients (WBC count raised in 40% and d-dimer, CRP raised in > 50% of cases). A striking 83% of the patients had hyperglycemia. The most common immediate cause of death pertained to the respiratory system (ARDS, refractory hypoxia, respiratory) in more than half of the patients. CONCLUSION:  This study reported the clinical and laboratory characteristics of 91 adult COVID-19 mortality cases at a teaching hospital at the peak of the Delta wave in Karnataka. While inflammatory indicators such as WBC count, CRP, and d-dimer were raised in many patients, our most remarkable finding was the high frequency of hyperglycemia. The findings of our study would contribute to enhancing the understanding of the clinical correlates and progression of COVID-19.

The Association of Psychosocial Manifestations and Quality of Life With Inflammatory Markers in SARS-CoV-2 Patients: A Study From a Dedicated COVID-19 Tertiary Care Hospital.

AIM: The second wave of the coronavirus disease 2019 (COVID-19) pandemic adversely affected an individual's physical and psychological well-being. Events such as nationwide lockdown, isolation, social distancing, loss of jobs, and mortality among close contacts and the neighborhood had a dreadful impact on the psychological well-being of the population. At the time of conducting the present study, limited literature was available on the psychosocial manifestations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the Indian population. Hence, the present study was conducted to find out the association between depression, anxiety, stress, and quality of life with inflammatory markers such as C-reactive protein (CRP), interleukin-6 (IL-6), D-dimer, serum ferritin, procalcitonin (PCT) in SARS-CoV-2 patients during admission and follow-up in a tertiary care hospital. METHODS: This was an observational analytical study conducted during the second wave of the SARS-CoV-2 pandemic at a designated COVID-19 tertiary care hospital in New Delhi, India. Guidelines provided by the Ministry of Health and Family Welfare; the Government of India, were used for deciding hospital admissions. Sixty patients, confirmed positive by reverse transcriptase-polymerase chain reaction (RT-PCR) for SARS-CoV-2, aged 18-60 years, were recruited for this study. All study subjects were screened by a rating scale for which the Hindi version of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) questionnaire was employed, and the Hindi version of the 26-item World Health Organization Quality of Life Brief Version (WHOQOL-BREF) was used to assess the quality of life. Special investigations like CRP, IL-6, D-dimer, serum ferritin, and PCT were sent on day one of admission. RESULTS: The prevalence of depression, anxiety, and stress was 63.3%, 85%, and 26.7%, respectively. The mean D-dimer level was found to be 957.32 ± 650.91 ng/ml, mean pro-calcitonin level was 1.04 ± 1.47 ng/ml, mean serum ferritin level was 722.24 ± 486.75 µg/L, mean CRP level was 65.36 ± 35.12 mg/L, and mean IL-6 level was 62.79 ± 49.05 pg/ml. The average score for the physical domain of the WHOQOL-BREF on days 7, 14, and 28 were 66.23, 77.43, and 82.18, respectively. The average score for the psychological domain on days 7, 14, and 28 were 73.93, 78.33, and 86.21, respectively. The average score for social domain on days 7, 14, and 28 were 82.63, 86.38, and 89.73, respectively. The average score for the environmental domain on days 7, 14, and 28 were 78.33, 88.78, and 90.98, respectively. The prevalence and severity of depression were significantly associated with D-dimer, CRP, ferritin, PCT, and Interleukin-6 (p<0.05). The prevalence and severity of anxiety were significantly associated with PCT, IL-6, and CRP (p<0.05). CONCLUSION: SARS-CoV-2 infection adversely affected our study population's mental well-being. An increased prevalence of psychosocial manifestations like depression, anxiety, and stress was noted in participants. We also concluded that increased levels of inflammatory markers (CRP, IL-6, PCT, D-dimer, and serum ferritin) were associated with increased prevalence of psychiatric manifestations like depression.

Response of wastewater-based epidemiology predictor for the second wave of COVID-19 in Ahmedabad, India: A long-term data Perspective.

In this work, we present an eight-month longitudinal study of wastewater-based epidemiology (WBE) in Ahmedabad, India, where wastewater surveillance was introduced in September 2020 after the successful containment of the first wave of COVID-19 to predict the resurge of the infection during the second wave of the pandemic. The study aims to elucidate the weekly resolution of the SARS-CoV-2 RNA data for eight months in wastewater samples to predict the COVID-19 situation and identify hotspots in Ahmedabad. A total of 287 samples were analyzed for SARS-CoV-2 RNA using RT-PCR, and Spearman's rank correlation was applied to depict the early warning potential of WBE. During September 2020 to April 2021, the increasing number of positive wastewater influent samples correlated with the growing number of confirmed clinical cases. It also showed clear evidence of early detection of the second wave of COVID-19 in Ahmedabad (March 2021). 258 out of a total 287 samples were detected positive with at least two out of three SARS-CoV-2 genes (N, ORF- 1 ab, and S). Monthly variation represented a significant decline in all three gene copies in October compared to September 2020, followed by an abrupt increase in November 2020. A similar increment in the gene copies was observed in March and April 2021, which would be an indicator of the second wave of COVID-19. A lead time of 1-2 weeks was observed in the change of gene concentrations compared with clinically confirmed cases. Measured wastewater ORF- 1 ab gene copies ranged from 6.1 x 102 (October 2020) to 1.4 x 104 (November 2020) copies/mL, and wastewater gene levels typically lead to confirmed cases by one to two weeks. The study highlights the value of WBE as a monitoring tool to predict waves within a pandemic, identify local disease hotspots within a city, and guide rapid management interventions.

COVID-19 second wave and clinical characteristics of cases in Uganda: A retrospective cross-sectional survey of confirmed SARS-CoV-2 cases, March-June 2021.

We conducted a retrospective cross-sectional population-based survey among recovered COVID-19 cases in Uganda to establish the case presentations of the second wave SARS-CoV-2 infections. We interviewed 1,120 recovered COVID-19 cases from 10 selected districts in Uganda. We further conducted 38 key informant interviews with members of the COVID-19 District Taskforce and 19 in-depth interviews among COVID-19 survivors from March to June 2021. Among them, 62% were aged 39 years and below and 51.5% were female with 90.9% under home-based care management. Cases were more prevalent among businesspeople (25.9%), students (16.2%), farmers (16.1%), and health workers (12.4%). Being asymptomatic was found to be associated with not seeking healthcare (APR 2, P < 0.001). The mortality rate was 3.6% mostly among the elderly (6.3%) and 31.3% aged 40 years and above had comorbidities of high blood pressure, diabetes, and asthma. Being asymptomatic, or under home-based care management (HBCM), working/operating/studying at schools, and not being vaccinated were among the major drivers of the second wave of the resurgence of COVID19 in Uganda. Managing future COVID-19 waves calls for proactive efforts for improving homebased care services, ensuring strict observation of SOPs in schools, and increasing the uptake of COVID-19 vaccination.

Satellite Epidemic of Covid-19 Associated Mucormycosis in India: A Multi-Site Observational Study.

BACKGROUND: Sudden upsurge in cases of COVID-19 Associated Mucormycosis (CAM) following the second wave of the COVID-19 pandemic was recorded in India. This study describes the clinical characteristics, management and outcomes of CAM cases, and factors associated with mortality. METHODS: Microbiologically confirmed CAM cases were enrolled from April 2021 to September 2021 from ten diverse geographical locations in India. Data were collected using a structured questionnaire and entered into a web portal designed specifically for this investigation. Bivariate analyses and logistic regression were conducted using R version 4.0.2. RESULTS: A total of 336 CAM patients were enrolled; the majority were male (n = 232, 69.1%), literate (n = 261, 77.7%), and employed (n = 224, 66.7%). The commonest presenting symptoms in our cohort of patients were oro-facial and ophthalmological in nature. The median (Interquartile Range; IQR) interval between COVID diagnosis and admission due to mucormycosis was 31 (18, 47) days, whereas the median duration of symptoms of CAM before hospitalization was 10 (5, 20) days. All CAM cases received antifungal treatment, and debridement (either surgical or endoscopic or both) was carried out in the majority of them (326, 97.02%). Twenty-three (6.9%) of the enrolled CAM cases expired. The odds of death in CAM patients increased with an increase in HbA1c level (aOR: 1.34, 95%CI: 1.05, 1.72) following adjustment for age, gender, education and employment status. CONCLUSION: A longer vigil of around 4-6 weeks post-COVID-19 diagnosis is suggested for earlier diagnosis of CAM. Better glycemic control may avert mortality in admitted CAM cases.

Comparison between Clinical Profile and Outcome of Patients Admitted with Moderate and Severe COVID-19 Illness in the First and Second Wave of COVID-19 in a Tertiary Care Centre in South India.

Background: SARS-coronavirus-2 has caused large number of infections globally. The infections have presented in a wave form in most of the countries. There have been differences in the clinical presentation, course, and the outcomes in the different waves. Aim: This study describes the clinical features and course of the patients admitted with COVID-19 illness between the first and second wave of COVID-19 in a tertiary care center in South India. Materials and Methods: This was a cross-sectional study where case record analysis of the patients admitted with moderate and severe COVID-19 illness in a tertiary care center in South India was performed. Patients admitted between August 1, 2020, and November 30, 2020, were considered to be affected in the first wave and those admitted between April 30, 2021, and July 30, 2021, were considered to be in the second wave of COVID-19. First wave and second wave periods were determined by a steep surge in infections in India as per the epidemiological data. The symptoms, comorbidities, clinical profile, severity, laboratory parameters, need for assisted ventilation, medications used, and outcome were compared between the two-time frames. Results: A total of 123 patients' data were analyzed in each wave. 72 (58%) patients had fever, while 64 (52%) patients had fever in COVID second wave. In the first wave, five (4%) patients had diarrhea, and four (3.2%) patients had vomiting, whereas in second wave, 43 (34%) patients had diarrhea, and 25 (20 percent) patients had vomiting (P < 0.001). It was seen in the present study that more number of patients in the age group of 31 to 40 years had more serious illness and adverse outcomes in second wave compared with patients in first wave where age group of 51-60 years was more seriously affected. In COVID first wave, 80 (65.0%) were having moderate COVID-19 illness and 43 (35%) had severe illness. In the second wave, 70 (57%) had moderate illness and 53 (43%) patients had severe illness. In the first wave, 31 patients (25%) required non-invasive ventilation (NIV), whereas 79 patients (64%) required NIV in second wave (P < 0.001). First wave resulted in 12 (9.7%) deaths, whereas second wave resulted in 20 (16.2%) deaths. Conclusion: The patients with COVID-19 illness in the second wave presented with more non-respiratory symptoms like vomiting, diarrhea, and joint pains. The patients who had severe illness in the second wave were comparatively younger than the patients of the first wave. The requirement of ventilatory support and immunosuppressants was more in the second wave.

Proteomic Investigation of COVID-19 Severity During the Tsunamic Second Wave in Mumbai.

Maharashtra was severely affected during the noxious second wave of COVID-19, with the highest number of cases recorded across India. The emergence of new symptoms and dysregulation of multiple organs resulted in high disease severity during the second wave which led to increased difficulties in understanding the molecular mechanisms behind the disease pathology. Exploring the underlying factors can help to relieve the burden on the medical communities to some extent by prioritizing the patients and, at the same time, opening avenues for improved treatments. In the current study, we have performed a mass-spectrometry-based proteomic analysis to investigate the disease pathology using nasopharyngeal swab samples collected from the COVID-19 patients in the Mumbai region of Maharashtra over the period of March-June 2021, the peak of the second wave. A total of 59 patients, including 32 non-severe and 27 severe cases, were considered for this proteomic study. We identified 23 differentially regulated proteins in severe patients as a host response to infection. In addition to the previously identified innate mechanisms of neutrophil and platelet degranulation, this study revealed significant alterations of anti-microbial peptide pathways in severe conditions, illustrating its role in the severity of the infectious strain of COVID-19 during the second wave. Furthermore, myeloperoxidase, cathepsin G, and profilin-1 were identified as potential therapeutic targets of the FDA-approved drugs dabrafenib, ZINC4097343, and ritonavir. This study has enlightened the role of the anti-microbial peptide pathway associated with the second wave in India and proposed its importance in potential therapeutics for COVID-19.

Comparison between the demographic shift clinical severity and outcome of the first two waves of COVID-19 in pregnancy in a tertiary hospital in India.

OBJECTIVE: To study and compare the maternal and neonatal outcomes of COVID-19 in pregnancy during the two waves of the pandemic in India. METHODS: This observational, retrospective cohort study on pregnant women with SARS-CoV-2 infection was conducted in a 2700-bed tertiary referral center in South India from March 1, 2020 to June 30 2021. The clinical presentation, severity, and maternal and neonatal outcomes of COVID-19 were compared between the two waves. RESULTS: A total of 623 pregnant women tested positive for SARS-CoV-2 infection in our institute; 379 (60.8%) were diagnosed during the first wave and 244 (39.2%) in the second wave. Most of the affected women (81.1%) were in their third trimester. Maternal mortality rate was 823 per 100 000 live births. Composite maternal outcome (increasing requirement for ventilation, pulmonary embolism, disease progression) were more pronounced during the second wave (2.1% vs 6.1%). Between the two waves, both maternal (1 vs 3; P = 0.162) and perinatal (3.2% vs 6.7%; P = 0.065) deaths were higher during the second wave. The cesarean section rate was high during the first wave (48% vs 32.4%; P < 0.001). Preterm births were comparable between the two waves (19.5% vs 22%; P < 0.500). CONCLUSION: The women presented with more severe illness during the second wave of COVID-19. There was higher perinatal mortality, but the maternal mortality was similar between the two waves.

Media Reporting Relating to COVID-19 Vaccination as a Driver of Vaccine Hesitancy Prior to the Second Wave of the COVID-19 Pandemic in India: A Content Analysis of Newspaper and Digital Media Reports.

Background Over 2,40,000 deaths were attributed to the SARS-CoV-2 Delta (B.1.617.2) variant in India during the second wave of the pandemic from April to June 2021 with most deaths occurring in the unvaccinated population. High levels of coronavirus disease 2019 (COVID-19) vaccine hesitancy contributed to significantly reduced vaccination coverage in the eligible population especially among healthcare workers, comorbid and older people. The existing global evidence suggests misinformation through social media to accentuate, while newspaper and mainstream media reporting to be protective against vaccine hesitancy during the COVID-19 pandemic. Content analysis of regular press coverage of COVID-19 vaccination in India during the period of initial deployment and until the onset of the second wave of the pandemic can provide useful learnings and strengthen preparedness for addressing potential vaccine hesitancy concerns during future pandemics. Therefore, we conducted this inductive content analysis of press coverage related to the COVID-19 vaccine hesitancy in India prior to the second (Delta) wave of the COVID-19 pandemic. Methods We examined news reports related to COVID-19 vaccination in India for the period from 1st January 2021 to 28 February 2021 from a high circulation English language daily (Hindustan Times), Hindi (vernacular) language daily (Dainik Jagran), and English language news reports from selected digital news portals. The inclusion criterion was any news report related to COVID-19 vaccination including editorials and guest opinion pieces that could potentially generate COVID-19-related vaccine hesitancy. The news items were classified depending on their potential to drive vaccine hesitancy by either avoiding reporting of positive information related to COVID-19 vaccines, or attributing directly or indirectly, negative or misleading commentary relating to vaccine safety or efficacy. Reports with possible risk of increasing vaccine hesitancy were further analyzed based on content, source of information, and the extent of fact-checking. Results Most of the published newspaper reports examined in this study echoed official news sources and views from government health agencies promoting COVID-19 vaccine acceptance and dispelling doubts on concerns regarding vaccine safety. There were eight unique newspaper reports after excluding duplicated bilingual entries and four news items from online digital Indian news sources that met our criterion of reports with possible contribution to vaccine hesitancy. The reports possibly contributed to vaccine hesitancy were grouped into two themes: (i) Doubts on the safety and efficacy of local manufactured vaccines: most of these reports focused on the granting of emergency use authorization for Covaxin (BBV152) in 'clinical trial mode' without the completion and publication of Phase-3 efficacy data (ii). Doubts on vaccine requirement considering high seroprevalence and reduced virus transmission.  Conclusions Concerns about the efficacy and safety of Covaxin (BBV152), safety of the Covishield vaccine, and questioning the necessity of immunizing all adults with COVID-19 vaccines were observed in multiple press reports with attempts at politicization of vaccination-related decisions. The press reporting with potential for contributing to significant COVID-19 vaccine hesitancy since launch and until the Delta wave of the pandemic in India has important lessons in future pandemic preparedness.

Readiness of health facilities to manage individuals infected with COVID-19, Uganda, June 2021.

BACKGROUND: The COVID-19 pandemic overwhelmed the capacity of health facilities globally, emphasizing the need for readiness to respond to rapid increases in cases. The first wave of COVID-19 in Uganda peaked in late 2020 and demonstrated challenges with facility readiness to manage cases. The second wave began in May 2021. In June 2021, we assessed the readiness of health facilities in Uganda to manage the second wave of COVID-19. METHODS: Referral hospitals managed severe COVID-19 patients, while lower-level health facilities screened, isolated, and managed mild cases. We assessed 17 of 20 referral hospitals in Uganda and 71 of 3,107 lower-level health facilities, selected using multistage sampling. We interviewed health facility heads in person about case management, coordination and communication and reporting, and preparation for the surge of COVID-19 during first and the start of the second waves of COVID-19, inspected COVID-19 treatment units (CTUs) and other service delivery points. We used an observational checklist to evaluate capacity in infection prevention, medicines, personal protective equipment (PPE), and CTU surge capacity. We used the "ReadyScore" criteria to classify readiness levels as > 80% ('ready'), 40-80% ('work to do'), and < 40% ('not ready') and tailored the assessments to the health facility level. Scores for the lower-level health facilities were weighted to approximate representativeness for their health facility type in Uganda. RESULTS: The median (interquartile range (IQR)) readiness scores were: 39% (IQR: 30, 51%) for all health facilities, 63% (IQR: 56, 75%) for referral hospitals, and 32% (IQR: 24, 37%) for lower-level facilities. Of 17 referral facilities, two (12%) were 'ready' and 15 (88%) were in the "work to do" category. Fourteen (82%) had an inadequate supply of medicines, 12 (71%) lacked adequate supply of oxygen, and 11 (65%) lacked space to expand their CTU. Fifty-five (77%) lower-level health facilities were "not ready," and 16 (23%) were in the "work to do" category. Seventy (99%) lower-level health facilities lacked medicines, 65 (92%) lacked PPE, and 53 (73%) lacked an emergency plan for COVID-19. CONCLUSION: Few health facilities were ready to manage the second wave of COVID-19 in Uganda during June 2021. Significant gaps existed for essential medicines, PPE, oxygen, and space to expand CTUs. The Uganda Ministry of Health utilized our findings to set up additional COVID-19 wards in hospitals and deliver medicines and PPE to referral hospitals. Adequate readiness for future waves of COVID-19 requires additional support and action in Uganda.