Management of COVID-19 during the second wave at a tertiary care public hospital in Eastern India: An experience from the administrative control room

Context

Though many arrangements had been made during the first wave, multiple complaints were reported regarding the arrangements made for COVID patients. The control room was set up as a 24 × 7 administrative coordination center to attend to issues after the initial setup of COVID units.

Aim

To identify the major problems reported to the control room during the second wave of COVID-19 and find the related cause for the same.

Methods and Materials

Issues reported to the control room were recorded from April to June (2021). The control room residents were asked to allocate each problem into six categories. Next, the residents allotted a frequency score to each of the problems depending on how regularly it was reported. Secondary data from various reports were also considered.

Statistical Analysis Used

Data were analyzed using MS Excel software.

Results

Various administrative issues were identified to be due to issues in communication and coordination (23%), policy and procedures (22%), human resource and training (16%), administration and implementation (15%), infrastructure (14%), and HMIS and IT (10%).

Conclusion

Most frequent problems reported to the control room were related to infrastructure, policy implementation, and manpower training. After the initial implementation of new processes, there was a requirement for regular follow-up and coordination. This model of setting up an administrative control room and evidence-based approach will serve as a template for public hospitals to ensure coordination of hospital operations.

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.

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.

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.

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.

Evaluation of Characteristics and Outcomes of COVID-19 Between First Wave and Second Wave: Study From a Tertiary Cancer Care Centre, Delhi, India

Background and objectives The second wave of coronavirus disease-19 (COVID-19) had several severe consequences in the form of rising cases, deaths, and overwhelming health infrastructure in India. However, the similarities and differences between the characteristics of the first and second waves have yet to be explained. The objectives of the study were to compare the incidence, clinical management, and mortality rates between two waves. Methods The COVID-19 data collated from Rajiv Gandhi Cancer Institute and Research Centre, Delhi between the first wave (1 April 2020 to 27 February 2021) and second wave (1 March 2021 to 30 June 2021) were evaluated in terms of incidence, the clinical course of the disease, and mortality rates. Results The number of subjects hospitalized in the first and second waves was 289 and 564, respectively. Compared to the first wave, the proportion of patients with severe disease was higher (9.7% vs. 37.8%). Several parameters such as age group, grade of disease, the reason for hospitalization, values of peripheral oxygen saturation, type of respiratory support, response to therapy, vital status, and others show statistically significant differences between the two waves (P<0.001). The mortality rate in the second wave was significantly higher (20.2% vs. 2.4%, P<0.001) than in the first wave. Interpretation and conclusions The clinical course and outcomes of COVID-19 significantly differ between the first and second waves. There is a higher incidence of hospitalized patients (66.1% vs. 33.9%) with drastically increased case fatality rate in the second wave. Disease severity in the first wave is four times lower than in the second wave. The second wave was quite devastating, which led to the shortage of critical care facilities and the loss of a significant number of lives.

A fungal epidemic amidst a viral pandemic: Risk factors for development of COVID-19 associated rhino-orbital-cerebral mucormycosis in India

PURPOSE

To study the risk factors for development of COVID-19 associated rhino-orbital-cerebral mucormycosis (ROCM) during the COVID-19 pandemic in India.

METHODS

Multi-centric retrospective case-control study conducted from October 2020 to May 2021. Cases comprised of consecutive patients of COVID-19-associated ROCM (CA-ROCM) presenting at the participating ophthalmic institutes. Controls comprised of COVID-19-positive or COVID-19-recovered patients who did not develop ROCM. Comparative analysis of demographic, COVID-19 infection, treatment parameters and vaccination status between cases and controls performed. Clinical and imaging features of CA-ROCM analyzed.

RESULTS

There were 179 cases and 361 controls. Mean age of presentation in cases was 52.06 years (p = .001) with male predominance (69.83%, p = .000011). Active COVID-19 infection at the time of presentation of ROCM (57.54%, p < .0001), moderate to severe COVID-19 (p < .0001), steroid administration (OR 3.63, p < .00001), uncontrolled diabetes (OR 32.83, p < .00001), random blood sugar >178 mg/dl were associated with development of CA-ROCM. Vaccination showed a protective effect (p = .0049). In cases with intracranial or cavernous sinus extension there was history of steroid administration (OR 2.89, p = .024) and orbital apex involvement on imaging (OR 6.202, p = .000037) compared to those with only rhino-orbital disease.

CONCLUSION

Male gender, active COVID-19 infection, moderate or severe COVID-19, uncontrolled diabetes, steroid administration during COVID-19 treatment are risk factors for developing rhino-orbital-cerebral mucormycosis. Vaccination is protective. Random blood sugar of >178 mg/dl in COVID-19 positive or recovered patients should warrant close observation and early detection of ROCM. Presence of ophthalmoplegia, blepharoptosis at first clinical presentation and orbital apex involvement on imaging are associated with intracranial extension in ROCM.

Psychometric properties of the Greek versions of the Pandemic-Related Pregnancy Stress Scale and the Pandemic-Related Postpartum Stress Scale and associated risk factors during the second year of the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic has affected perinatal mental health. Reliable tools are needed to assess perinatal stress during pandemic situations.

AIMS

To assess the psychometric properties of the Greek versions of the Pandemic-Related Pregnancy Stress Scale (PREPS) and the Pandemic-Related Postpartum Stress Scale (PREPS-PP) and to explore the associations between women's characteristics and perinatal stress during the second pandemic wave.

METHODS

The PREPS and PREPS-PP were completed by 264 pregnant and 188 postpartum women, respectively, who also completed the State-Trait Anxiety Inventory (STAI) and the Edinburgh Perinatal Depression Scale (EPDS).

RESULTS

The internal consistency was similar for PREPS and PREPS-PP. It was good for preparedness stress (a = 0.77 and α = 0.71, respectively) and infection stress (α = 0.83 for both scales) but low for positive appraisal (α = 0.46 and α = 0.41, respectively). Of the pregnant women, 55.33% and 55.27%, respectively, reported scores of ≥40 on STAI-S and STAI-T, and the respective percentages for the postpartum women were 47.34% and 46.80%. In addition, 14.39% of the pregnant women and 20.74% of the postpartum women scored ≥13 on the EPDS. Higher preparedness stress on PREPS and PREPS-PP was associated with primiparity (P = 0.022 and P = 0.021, respectively) and disrupted perinatal care (P = 0.069 and P = 0.007, respectively). In postpartum women, higher infection stress was associated with chronic disease (P = 0.037), primiparity (P = 0.02) and perceived risk of infection (P = 0.065). Higher score on infection stress was associated with disrupted perinatal care in both groups (P = 0.107 and P = 0.010, respectively).

CONCLUSIONS

The Greek versions of PREPS and PREPS-PP are valid tools for the assessment of women at risk of perinatal stress during a health crisis.

Clinical characteristics & severity profile of children with COVID-19 during the second wave pandemic: An experience from tertiary care hospital in Mumbai

This retrospective observational study was aimed at defining the demographic and clinical characteristics as well as severity profile of COVID-19 disease in children admitted to dedicated COVID-19 tertiary care hospital in Mumbai, India, during the second wave. COVID-19 infection detected in children (1 month-12 years) by the rapid antigen test or reverse transcriptase polymerase chain reaction or TRUENAT from March 1 to July 31, 2021 on throat/nasopharyngeal samples were enrolled and their clinical features and outcomes were studied. During the study period, 77 children with COVID-19 infection were admitted, of whom two-third (59.7%) were <5 yr old. The common presenting symptom was fever (77%), followed by respiratory distress. Comorbidities were noted in 34 (44.2%) children. Most of the patients belonged to the mild severity category (41.55%). While 25.97 per cent of patients presented in severe category and 19.48 per cent were asymptomatic. Admission to intensive care was needed in 20 (25.9%) patients, with 13 patients needing invasive ventilation. Nine patients succumbed while 68 were discharged. The results might help understand the course, severity profile and outcomes of the second wave of the COVID-19 pandemic in the paediatric population.

High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020-April 2021), Democratic Republic of the Congo

Serologic surveys are important tools for estimating the true burden of COVID-19 in a given population. After the first wave of SARS-CoV-2 infections, a household-based survey conducted in Kinshasa, Democratic Republic of the Congo, estimated >292 infections going undiagnosed for every laboratory-confirmed case. To ascertain the cumulative population exposure in Kinshasa after the second wave of COVID-19, we conducted a prospective population-based cross-sectional study using a highly sensitive and specific ELISA kit. The survey included 2,560 consenting persons from 585 households; 55% were female and 45% male. The overall population-weighted, test kit-adjusted SARS-CoV-2 seroprevalence was 76.5% (95% CI 74.5%-78.5%). The seroprevalence was 4-fold higher than during the first wave, and positivity was associated with age, household average monthly income, and level of education. Evidence generated from this population-based survey can inform COVID-19 response, especially vaccination campaign strategies in the context of vaccine shortages and hesitancy.

[COVID 19 - Hospital Admission in the First and Second Wave in Germany]

PURPOSE

 We analyzed patients' characteristics and hospital admission in Germany's first and second COVID 19 wave.

METHODS

 We include all patients hospitalized with the proven diagnosis COVID 19 admitted to the HELIOS Hospital Krefeld, Germany, in the first wave (n = 84; from 11.03.2020-30.06.2020) and the second wave (n = 344; from 01.07.2020-31.01.2021).

RESULTS

 Patients' age, gender and comorbidities were similar with the exception of venous thrombosis in medical history which was more frequent in the first wave (6 % vs 0.3 %, p = p = 0,001). At admission, there were no differences in the results of the initial lab values (c-reactive protein, leucocytes) and blood gas analyses between both groups. Treatment differed in the application of dexamethasone and anticoagulation. In the first wave, nobody received dexamethasone. However, this changed to 52.6 % of patients in the second wave for a mean length of 3.6 ± 4.1 days. Anticoagulation with double standard prophylaxis (2 × 40 mg low molecular heparin, subcutaneous) was applied in 7.1 % of patients in the first wave but 30.2 % (p = 0.002) in the second wave. In the first wave more thromboembolic events were diagnosed after admission (19.0 % vs 7.0 %, p = 0.001). In-hospital death was 26.2 % in the first wave and 15.4 % in the second wave (p = 0.0234). Most deaths were attributed to acute respiratory distress syndrome (ARDS).

CONCLUSION

 Patients' characteristics did not vary in Germany's first and second COVID 19 wave, but anticoagulation and dexamethasone were applied more frequently in the second wave. In addition, there were fewer thromboembolic complications in the second wave.

Smoking Behavior and Smoking Cessation Because of and during the COVID-19 Pandemic: A Brief Online Survey 12 Months into the Pandemic and during the Second Wave in Europe

Smoking is considered a major preventable cause of cardiovascular and lung diseases, as well as cancer. During the COVID-19 pandemic, there was extensive discussion about the influence of nicotine use; ultimately, smoking was considered a major risk factor for poor disease progression. Therefore, in April 2021, we conducted an anonymous cross-sectional online survey on smoking and vaping behavior, as well as smoking cessation, in four different countries in Europe (the United Kingdom, Germany, Spain, and Italy). A total of 3605 participants completed a questionnaire on their smoking and vaping behaviors and smoking cessation because of and during the COVID-19 pandemic. Fear of COVID-19 infection, a high percentage of quarantine stays (44.9% Italy and 52.1% Spain), and high infection (75.5% Italy and 52.4% Spain) and death (42% Italy) rates in respondents' personal circles were observed mostly in the surveyed populations of Italy and Spain. Smoking cessation attempts and success were mainly seen in the Italian population and were linked to psychological distress, while the same effects were shown for vaping in Spain. In summary, health anxiety was detected in all cohorts. Despite these findings, smoking as a risk factor for severe outcomes of COVID-19 infection did not lead to a higher rate of smoking cessation attempts.

Second and Third Pandemic Waves in Apulia: How COVID-19 Affected Orthopedic and Trauma Care-A Single-Center Study

PURPOSE

In orthopedics and traumatology, as a direct consequence of the COVID-19 first wave, there was a massive reorganization and a stop to all elective activities, which were postponed. In this study, we aimed to analyze the impact of the COVID-19 pandemic on orthopedic surgery in Apulia during the second wave, from March to June 2021 (when Apulia was under social distancing restrictions), and during the third wave, from September to December 2021 (when Apulia was under no restrictions). We compared these months to the same periods in 2019 for an evaluation of the surgical decrease during the pandemic period.

METHODS

We performed a retrospective analysis of major orthopedic procedures, day-surgery procedures and urgent procedures (trauma and non-traumatic amputation) performed during the second and third waves of the pandemic in our clinic, and we compared these data with the same procedures performed in the corresponding periods of 2019, before the pandemic.

RESULTS

Surgical activity was significantly decreased during both periods; the only increase in surgical activity in 2021 compared to 2019 was in total hip, knee and shoulder arthroplasty, with a surge of +7.69% registered in the period September-December 2021.

CONCLUSIONS

Longer waiting lists and limited healthcare resources were the big challenges for the orthopedic community, and they still represent a substantial issue to confront today.

Evolution of Posttraumatic Symptoms and Related Factors in Healthcare Workers During the COVID-19 Pandemic: A Longitudinal Study

OBJECTIVE

This study aimed to (1) evaluate the evolution of mental health (posttraumatic stress symptoms [PTSSs], depression, and burnout) of healthcare workers during the second wave of the pandemic (November to December 2020) and compare it with the first wave (March to May 2020), and (2) ascertain the predictors of PTSSs.

METHODS

In March to May 2020 (T1), 269 healthcare professionals working in Spain completed PTSSs, sadness, resilience, and coping questionnaires. In November to December 2020 (T2, N = 58), we assessed PTSSs, sadness, burnout, and depression.

RESULTS

Among the healthcare professionals, 63.8% displayed severe PTSSs, 51.7% depressive symptoms, and 79.3% emotional exhaustion (T2). Some risk factors were caring for patients who were severely ill or dying and using rumination, thinking avoidance, self-isolation, emotional expression, and self-blaming as coping strategies.

CONCLUSIONS

The pandemic has had a deep and long-lasting impact on the healthcare workers' mental health.

Public Perception About Pandemic Situation and Preparedness Towards a Probable Lockdown in an Affected Indian State Amidst the Second Wave of the Covid-19 Pandemic

OBJECTIVE

The COVID-19 second wave badly affected India. This study assessed public preparedness and attitude towards a new lockdown in the state of West Bengal (WB) along with perception about the COVID pandemic situation.

METHODS

An anonymous questionnaire was administered to all willing adult attendees of a COVID vaccination centre in Kolkata, capital city of WB. Logistic regression was applied to find the relationship between attitude towards lockdown and other selected independent variables.

RESULTS

Of the 839 persons analyzed, 72.0% were non-health workers; and 55.4% thought that available vaccines reduce COVID-19 risk. Among them, 54.4% wanted stricter guidelines imposed. For preparedness, 42.6% and 28.8% said they would stock additional food and medicines respectively. On multiple logistic regression, being female, having elderly family members, perceiving the second wave as worse, and favouring stricter restrictions, all had odds of favourable attitude towards the new, proposed lockdown.

CONCLUSIONS

A new lockdown was favoured by the majority. However, a well-planned and phased approach for this is needed in the light of many concerns about the previous lockdown. Mental health issues, financial security, medical help at hand, and ease of travel to workplaces are important issues that need to be addressed in case of future lockdown(s).

Persistence of SARS-CoV-2 in COVID-19 patients during the second wave of the pandemic in India

INTRODUCTION

India witnessed the catastrophic second wave of COVID-19 during the summer months of 2021. Many patients with non-resolution of symptoms admitted to dedicated COVID-19 treatment centers required prolonged inpatient care which led to the unavailability of beds for other COVID-19 patients. The objective of this study was to determine the duration of SARS-CoV-2 positivity in moderate and severe COVID-19 patients requiring long-term pulmonary care as well as to find out the association between different variables with the persistence of the virus.

METHODOLOGY

A retrospective chart review of clinical and laboratory data of patients with moderate and severe COVID-19 between 1st April 2021 and 15th July 2021 admitted for more than 28 days and requiring long-term pulmonary care was carried out at National Cancer Institute, AIIMS, India. SARS-CoV-2 RNA was detected with real-time reverse transcriptase-polymerase chain reaction-based tests. Data from all consecutively included patients satisfying the selection criteria were presented temporally and analyzed by Fisher's exact test (p < 0.05).

RESULTS

All 51 patients tested positive for SARS-CoV-2 RNA at the 5th week of initial laboratory confirmation of COVID-19. The majority of the patients (38; 74.5%) remained positive for viral RNA till the 6th week and the median duration of viral positivity was 45 days. The clinical presentation of SARI at admission was significantly higher among patients with viral persistence till the 6th week (p < 0.05).

CONCLUSIONS

The median duration of the viral positivity was 45 days and SARI at admission was significantly associated with viral persistence till the 6th week.

COVID-19 Elderly Patients Treated for Proximal Femoral Fractures during the Second Wave of Pandemic in Italy and Iran: A Comparison between Two Countries

Background and objevtive: The worldwide spread of SARS-CoV-2 has affected the various regions of the world differently. Italy and Iran have experienced a different adaptation to coexistence with the pandemic. Above all, fractures of the femur represent a large part of the necessary care for elderly patients. The aim of this study was to compare the treatment in Italy and Iran of COVID-19-positive patients suffering from proximal femur fractures in terms of characteristics, comorbidities, outcomes and complications. Materials and Methods: Medical records of COVID-19-positive patients with proximal femoral fractures treated at IRCCS Istituto Ortopedico Galeazzi in Milan (Italy) and at Salamat Farda and Parsa hospitals in the province of Tehran (Iran), in the time frame from 1 October 2020 to 16 January 2021, were analyzed and compared. Results: Records from 37 Italian patients and 33 Iranian patients were analyzed. The Italian group (mean age: 83.89 ± 1.60 years) was statistically older than the Iranian group (mean age: 75.18 ± 1.62 years) (p value = 0.0003). The mean number of transfusions for each patient in Italy was higher than the Iranian mean number (p value = 0.0062). The length of hospital stay in Italy was longer than in Iran (p value < 0.0001). Furthermore, laboratory values were different in the post-operative value of WBC and admission and post-operative values of CRP. Conclusions: The present study shows that differences were found between COVID-19-positive patients with proximal femoral fractures in these two countries. Further studies are required to validate these results and to better explain the reasons behind these differences.

Comparison of neutralizing antibody response in first and second waves of SARS-CoV-2 pandemic in India

The Delta variant leads to the resurgence of the second wave in India. A 1.51-fold increase in neutralizing antibody response was observed in the second wave compared with first wave, indicating the second wave dominated by the Delta elicited a robust immune response.

Clinicodemographic profile, intensive care unit utilization and mortality rate among COVID-19 patients admitted during the second wave in Bangladesh

INTRODUCTION

The second wave of COVID-19 arrived in Bangladesh in March 2021. This pilot research from a tertiary care COVID-dedicated hospital observed the clinicodemographic profile, intensive care unit (ICU) utilization, and mortality rate among COVID-19 patients admitted during the second wave.

METHODS

Reverse transcription-polymerase chain reaction or chest high-resolution computed tomography confirmed 972 COVID-19 cases included in this cross-sectional study from 24 March to 23 June 2021, recruited using convenience sampling. Data regarding clinicodemographic profile, ICU utilization and mortality rate were analyzed.

RESULTS

The mean study cohort age was 54.47±12.73 years, with most patients (48.3%) aged 41-60; 64.1% were men. Fever (77.9%) and cough (75.9%) were the most common symptoms, and hypertension (43.6%) and diabetes (42.15%) the most common comorbidities. Nearly half of patients had total lung involvement of 26%-50%, and 23.8% required ICU. Overall mortality was 16.5%, whereas the mortality rate among ICU admitted patients was 56.1%. The most important predictors of mortality were older age, chronic renal illness, the proportion of lung involvement and ICU requirement.

CONCLUSIONS

We found higher mortality and ICU utilization rate and greater total lung involvement during the second wave. The mortality rate among the elderly and ICU patients was also higher than earlier.

Double Face Mask Use for COVID-19 Infection Prevention and Control Among Medical Students at Makerere University: A Cross-Section Survey

INTRODUCTION

The second wave of COVID-19 greatly affected the health care and education systems in Uganda, due to the infection itself and the lockdowns instituted. Double masking has been suggested as a safe alternative to double-layered masks, where the quality of the latter may not be guaranteed. This study aimed to determine patterns of double mask use among undergraduate medical students at Makerere University, Uganda.

METHODS

We conducted a descriptive cross-sectional study using an online questionnaire. All students enrolled at the College of Health Sciences; Makerere University received the link to this questionnaire to participate. Logistic regression analysis was used to assess factors associated with double mask use.

RESULTS

A total of 348 participants were enrolled. The majority (61.8%) were male; the median age was 23 (range: 32) years. Up to 10.3%, 42%, and 4.3% reported past COVID-19 positive test, history of COVID-19 symptoms, and having comorbidities, respectively. Up to 40.8% had been vaccinated against COVID-19. More than half (68.7%) believed double masking was superior to single masking for COVID-19 IPC, but only 20.5% reported double masking. Participants with a past COVID-19 positive test [aOR: 2.5; 95% CI: 1.1-5.8, p = 0.026] and participants who believed double masks had a superior protective advantage [aOR: 20; 95% CI: 4.9-86.2, p < 0.001] were more likely to double mask. Lack of trust in the quality of masks (46.5%) was the most frequent motivation for double masking, while excessive sweating (68.4%), high cost of masks (66.4%), and difficulty in breathing (66.1%) were the major barriers.

CONCLUSION

Very few medical students practice double masking to prevent COVID-19. Coupled with inconsistencies in the availability of the recommended four-layered masks in Uganda and increased exposure in lecture rooms and clinical rotations, medical students may be at risk of contracting COVID-19.

The Outcome of Catheter-Directed Thrombolysis in COVID-19-Associated Deep Vein Thrombosis

IntroductionPublished evidence of venous thrombotic complications of COVID-19 is lacking from India. This case series consists of twenty-nine adult patients who were COVID -19 positive and treated for Deep Vein Thrombosis (DVT) during the second wave of the COVID-19 pandemic, in India. The study was aimed at analyzing patient demographics of patients with DVT and the outcome of Catheter-Directed Thrombolysis (CDT) in COVID positive patients. Material and Methods: Patients who developed DVT while or after being COVID positive were managed between February and April 2021 at the institution of the first two authors and were included in this retrospective study. Demographic, clinical data, laboratory data, and treatment given were analyzed. All patients were followed up for 3 months with a Villalta score. Results: There were a total of 29 patients (12 male and 17 female) included in the study with a mean age of 47 ± 17 years. The average time of presentation from being COVID positive was 17.8 ± 3.6 days and one patient developed DVT after becoming Covid negative. All but one patient had lower limb involvement, with 42.8% having proximal and 57.2% distal DVT. All patients with Iliofemoral and two with Femoropopliteal DVT were treated with catheter-di thrombolysis and the other 15 patients were managed with anticoagulation alone. No re-thrombosis was observed in the thrombolysis group. Overall average Villalta score at 3 months was 10.7 ± 2.1 with a score of 10.58 ± 2.1 in the anticoagulation-only group and 10.85 ± 2.3 in the CDT group. Conclusion: COVID-19 seems to be an additional risk factor in the development of DVT. The outcome of such patients, treated by thrombolysis appears to be similar to non-COVID patients. In this, observational experience of the authors suggests that CDT could be offered to COVID positive patients with symptomatic Iliofemoral DVT with good outcomes and an acceptable post-intervention Villalta score.

Synonyms and Symptoms of COVID-19 and Individual and Official Actions against the Disease-A Brief Online Survey 6 Months into the Pandemic and on the Threshold of the Second Wave in Germany

To control the ongoing global pandemic due to SARS-CoV-2, we need to influence people's behavior. To do so, we require information on people's knowledge and perception of the disease and their opinions about the importance of containment measures. Therefore, in August 2020, we conducted an anonymous cross-sectional online survey on these topics in 913 participants in Germany. Participants completed a questionnaire on various synonyms and symptoms of corona virus and specified the importance they attributed to individual and regulatory measures. The virus was linked more closely with most synonyms and the discovery in China than with the places of the first larger European outbreaks. General (cold-like) symptoms, such as "cough" and "fever," were more widely known than COVID-19-specific ones, e.g., "loss of taste and smell." The widely promoted individual measures "distancing," "hygiene," and "(facial) mask wearing" were rated as highly important, as were the corresponding official measures, e.g., the "distancing rule" and "mask mandate." However, the "corona warning app" and a "vaccine mandate" were rated as less important. A subgroup analysis showed broad agreement between the subgroups on nearly all issues. In conclusion, the survey provided information about the German population's perception and knowledge of the coronavirus five months into the pandemic; however, participants were younger and more educated than a representative sample. To learn from the beginning and still ongoing pandemic and develop concepts for the future, we need more conclusive studies, especially on the acceptance of further specified lockdowns, the population's willingness to be vaccinated, and the influence of misinformation on public opinion.

Synopsis of symptoms of COVID-19 during second wave of the pandemic in India

COVID-19 was caused by the original coronavirus, severe acute respiratory syndrome associated coronavirus-2 (SARS CoV2), which originated in Wuhan, China. COVID-19 had a large breakout of cases in early 2020, resulting in an epidemic that turned into a pandemic. This quickly enveloped the global healthcare system. The principal testing method for COVID-19 detection, according to the WHO, is reverse transcription polymerase chain reaction (RT-PCR). Isolation of patients, quarantine, masking, social distancing, sanitizer use, and complete lockdown were all vital health-care procedures for everyone. With the 'new normal' and vaccination programmes, the number of cases and recovered patients began to rise months later. The easing of restrictions during the plateau phase resulted in a rebound of instances, which hit the people with more ferocity and vengeance towards the start of April 2021. Coronaviruses have evolved to cause respiratory, enteric, hepatic, and neurologic diseases, resulting in a wide range of diseases and symptoms such as fever, cough, myalgia or fatigue, shortness of breath, muscle ache, headache, sore throat, rhinorrhea, hemoptysis, chest pain, nausea, vomiting, diarrhoea, anosmia, and ageusia. Coronavirus infections can be mild, moderate, or severe in intensity. COVID-19 pulmonary dysfunction includes lung edoema, ground-glass opacities, surfactant depletion, and alveolar collapse. Patients who presented with gastrointestinal (GI) symptoms such as anorexia, nausea, vomiting, or diarrhoea had a higher risk of negative outcomes. COVID-19's influence on cognitive function is one of COVID-19's long-term effects. More clinical situations need to be reviewed by healthcare professionals so that an appropriate management protocol may be developed to reduce morbidity and death in future coming third/fourth wave cases.

Second wave of COVID-19 in Nigeria: Lessons from the first wave

The COVID‐19 pandemic struck the world unawares. The virus is now spreading as never before, despite the initial progress recorded by several countries towards kerbing the pandemic. As the pandemic continues to spread across Africa, there is a need for countries in the continent to re‐evaluate, re‐strategise, and re‐invigorate their COVID‐19 responses and efforts based on lessons from the first wave, and Nigeria is no exception. Before the second wave was officially announced by the health authorities on 17 December 2020, there were 78,434 confirmed cases and 1221 deaths reported with a case fatality rate (CFR) of 1.6%. To ensure that Nigeria achieves total pandemic control and reacts better given the possibility of a second wave, we propose workable recommendations to strengthen our preparedness and readiness efforts. Here, we argue that lessons learnt from the first wave of the COVID‐19 pandemic can help Nigeria better react to the second wave.

The lapses in COVID‐19 response during the first wave include policy gaps in lockdown measures, poor enforcement of mandatory quarantine on returnees and visitors, lack of multisectoral approach, discontinuity of education, poor contract tracing, and vaccine hesitancy

The low‐to‐absent testing capacity and inadequate reporting systems are suspected to be responsible for the comparatively low number of positive COVID‐19 cases during the first wave in Nigeria

Given the relatively high costs of COVID‐19 treatment, prevention practices such as regular handwashing and social distancing ‐which incurs little to no costs‐ are a better and more cost‐effective method worth adopting

To prevent a second wave, the level of emergency preparedness needs to be intensified and the enforcement of safety protocols must be uniform and consistent. Mandatory quarantine, robust expansion of PCR testing capacity, and effective health communication can see the balance shifted towards total pandemic control

Systemic Anti-Cancer Therapy and Metastatic Cancer Are Independent Mortality Risk Factors during Two UK Waves of the COVID-19 Pandemic at University College London Hospital

An increased mortality risk was observed in patients with cancer during the first wave of COVID-19. Here, we describe determinants of mortality in patients with solid cancer comparing the first and second waves of COVID-19. A retrospective analysis encompassing two waves of COVID-19 (March-May 2020; December 2020-February 2021) was performed. 207 patients with cancer were matched to 452 patients without cancer. Patient demographics and oncological variables such as cancer subtype, staging and anti-cancer treatment were evaluated for association with COVID-19 mortality. Overall mortality was lower in wave two compared to wave one, HR 0.41 (95% CI: 0.30-0.56). In patients with cancer, mortality was 43.6% in wave one and 15.9% in wave two. In hospitalized patients, after adjusting for age, ethnicity and co-morbidities, a history of cancer was associated with increased mortality in wave one but not wave two. In summary, the second UK wave of COVID-19 is associated with lower mortality in hospitalized patients. A history of solid cancer was not associated with increased mortality despite the dominance of the more transmissible B.1.1.7 SARS-CoV-2 variant. In both waves, metastatic disease and systemic anti-cancer treatment appeared to be independent risk factors for death within the combined cancer cohort.

Impact of second wave of COVID-19 pandemic on the hesitancy and refusal of COVID-19 vaccination in Puducherry, India: a longitudinal study

The second wave of COVID-19 pandemic has spread rampantly throughout India between April and May 2021, leading to high mortality rates. Identifying any change in the rate of vaccine hesitancy or refusal due to such mass casualty events will provide further insights on developing appropriate risk communication strategy. Hence, this study was undertaken to identify the vaccine hesitancy and refusal before and during the second wave of COVID-19 pandemic. We conducted a longitudinal study among 900 adults to know about their vaccine hesitancy and refusal pattern before (March 2021 - round-1) and during the second wave of COVID-19 pandemic (May 2021 - round-2). Telephonic interview was conducted using the pre-tested semi-structured questionnaire. There was an increase in the vaccine hesitancy (27.8% in round-1 to 32.7% in round-2) and refusal (25.6% in round-1 to 35.6% in round-2) during the second wave of pandemic in Puducherry. In adjusted analysis, vaccine hesitancy was found to increase by 1.19 times during the round-2 survey compared to round-1 survey (aIRR = 1.19; 95%CI: 1.03-1.37). We also found that the vaccine refusal increased by 1.40 times during the round-2 survey compared to round-1 survey (aIRR = 1.40; 95%CI: 1.22-1.62) after adjusting for age, place of residence, and occupation. We found that the confidence in COVID-19 vaccine efficacy and safety has declined over time leading to increase in the vaccine hesitancy and refusal in our study cohort, with more than one-third refusing to get themselves vaccinated during the second wave of pandemic.

High Mortality During the Second Wave of the Coronavirus Disease 2019 (COVID-19) Pandemic in Uganda: Experience From a National Referral COVID-19 Treatment Unit

Background

We evaluated clinical outcomes of patients hospitalized with coronavirus disease 2019 (COVID-19) in the second wave of the pandemic in a national COVID-19 treatment unit (CTU) in Uganda.

Methods

We conducted a retrospective cohort study of COVID-19 patients hospitalized at the Mulago National Referral Hospital CTU between May 1 and July 11, 2021. We performed Kaplan-Meier analysis to evaluate all-cause in-hospital mortality.

Results

Of the 477 participants, 247 (52%) were female, 15 (3%) had received at least 1 dose of the COVID-19 vaccine, and 223 (46%) had at least 1 comorbidity. The median age was 52 (interquartile range, 41–65) years. More than 80% of the patients presented with severe (19%, n=91) or critical (66%, n=315) COVID-19 illness. Overall, 174 (37%) patients died. Predictors of all-cause in-hospital mortality were as follows; age ≥50 years (adjusted odds ratio [aOR], 1.9; 95% confidence interval [CI], 1.2–3.2; P=.011), oxygen saturation at admission of ≥92% (aOR, 0.97; 95% CI, 0.91–0.95; P<.001), and admission pulse rate of ≥100 beats per minute (aOR, 1.01; 95% CI, 1.00–1.02; P=.042). The risk of death was 1.4-fold higher in female participants compared with their male counterparts (hazards ratio, 1.4; 95% CI, 1.0–2.0; P=.025).

Conclusions

In this cohort, where the majority of the patients presented with severe or critical illness, more than one third of the patients hospitalized with COVID-19 at a national CTU died of the illness.

COVID-19 disruptions during the second wave

The majority of companies around the world suffered severe supply chain disruptions since the first wave of the pandemic. This paper, in contrast, focuses on how prepared were companies when the second wave struck. We focused our study on the impacts of COVID-19 disruptions on Supply Chain Management during this second wave in Saudi Arabia, though not clearly defined by a rise in number of cases, we will rely on the dates the lockdown took place during. The purpose of our study is to understand how resilient different companies supply chains were and if that resilience impacted their recovery level. We conducted our study on Saudi companies from different industries and multiple sizes. We excluded international companies operating globally, in order to focus the findings and ensure our analysis covers the local scene. We collected the data using survey questionnaires answered by employees involved in the Supply Chain, Procurement, and Project Management or C-suite level personnel. We conducted our data analysis using SPSS to run a correlation analysis between our findings on the Supply Chain Resilience and our sample Recovery Level. We used a Resilience Testing Model which consists of linking correlations derived from analysing data collected.

We have found through our descriptive analysis that, even though companies vary in their scores of understanding, importance, availability of alternatives and preparedness, they all exhibited a disruption from COVID-19. The lessons learned from the correlation analysis is that companies are expected to begin searching for a more diversified supplier base in the near term, thus looking to build a versatile, but cost-effective, supply chain. Shifting supply chains nearby, decreasing the suppliers base, increasing the digitalization of supply chains are essential tactics companies have to start committing to.

Dreams and Nightmares during the First and Second Wave of the COVID-19 Infection: A Longitudinal Study

Recent literature shows that the Coronovirus-19 (COVID-19) pandemic has provoked significant changes in dreaming. The current study intends to provide an update about dream variable changes during the second wave of COVID-19. A total of 611 participants completed a web survey from December 2020 to January 2021. Statistical comparisons showed that subjects had lower dream-recall frequency, nightmare frequency, lucid-dream frequency, emotional intensity, and nightmare distress during the second than the first wave of the pandemic. Dreams had a higher negative tone during the second than first wave. We revealed significant differences concerning post-traumatic growth, sleep-related post-traumatic stress disorder (PTSD) symptoms and sleep measures between groups obtained as a function of the changes in the oneiric frequency between the first and second waves. We also found significant correlations between qualitative/emotional dream features and COVID-19-related factors (job change, forced quarantine, having COVID-19 infected relatives/friends, or asking for mental health help). Overall, we found that the second wave affected fewer quantitative features of dream activity and there was less emotional intensity. Moreover, we confirmed the relationship between nightmares and the high risk of PTSD when subjects were grouped as a function of the increasing/decreasing frequency. Finally, our findings are partly coherent with the continuity hypothesis between oneiric and waking experiences.

Second wave of COVID-19: emergency situation in India

The COVID-19 pandemic has so far infected 25 385 043 people and has taken 280 683 lives (18 May 2021). Several infectious variants are circulating in the country, including the B.1.1.7, B.1.351, B.1.617, and B.1.618. Preventive strategies may include a large-scale TTT approach, imposing IPC- 144 or lockdown in the hotspot areas, and mass vaccination.

Impact of preoperative COVID infection on the outcomes of planned curative-intent cancer surgeries in the second wave of the pandemic from a tertiary care center in India

Background

Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic was an unforeseen calamity. Sudden disruption of nonemergency services led to disruption of treatment across all specialties. Oncology revolves around the tenet of timely detection and treatment. Disruption of any sort will jeopardize cure rates. The time interval between coronavirus infection and cancer surgery is variable and needs to be tailored to avoid the progression of the disease.

Methods

We analyzed the impact of preoperative coronavirus disease 2019 (COVID‐19) infection on the planned cancer surgery, delay, disease progression, and change of intent of treatment from April 1 to May 31, 2021 at a tertiary care center. All preoperative positive patients were retested after 2 weeks and were considered for surgery if the repeat test was negative and asymptomatic.

Findings

Our study included 432 preoperative patients of which 91 (21%) were COVID‐19 positive. Amongst this cohort, 76% were operated and the morbidity and mortality were comparable to the COVID‐19 negative cohort. Around 10% of the COVID‐19 positive were lost to follow up and 10% had disease progression and were deemed palliative

Interpretation

SARS‐CoV‐2 infection has adversely impacted cancer care and a 2‐week waiting period postinfection seems to be a safe interval in asymptomatic individuals to consider radical cancer surgery.

A Second Wave? What Do People Mean by COVID Waves? - A Working Definition of Epidemic Waves

Introduction

Policymakers and researchers describe the COVID-19 epidemics by waves without a common vocabulary on what constitutes an epidemic wave, either in terms of a working definition or operationalization, causing inconsistencies and confusions. A working definition and operationalization can be helpful to characterize and communicate about epidemics.

Methods

We propose a working definition of epidemic waves in the ongoing COVID-19 pandemic and an operationalization based on the public data of the effective reproduction number R.

Results

Our operationalization characterizes the numbers and durations of waves (upward and downward) in 179 countries.

Discussions

The proposed working definition of epidemic waves provides a common and consistent vocabulary that can enable healthcare organizations and policymakers to make better description and assessment of the COVID crisis to make more informed resource planning, mobilization, and allocation temporally in the continued COVID-19 pandemic.

Covid-19 Infection in India: A Comparative Analysis of the Second Wave with the First Wave

Coronavirus disease 2019 (COVID-19) is considered as the most dreaded disease that has spread all over the world in the recent past. Despite its outbreak in December 2019–January 2020, a few continents and countries such as India started to experience a significant number of COVID-19-positive cases from March 2020. GISAID clade variation analysis in the period March 2020–February 2021 (period I) and March 2021–first week of April 2021 (period II) showed a rapid variation of SARS-CoV-2 in all continents and India over time. Studying the relationship of patient age or gender with viral clades in these two periods revealed that the population under 10 years of age was the least affected, whereas the 11–60-year-old population was the most affected, irrespective of patient gender and ethnicity. In the first wave, India registered quite a low number of COVID-19-positive cases/million people, but the scenario unexpectedly changed in the second wave, when even over 400,000 confirmed cases/day were reported. Lineage analysis in India showed the emergence of new SARS-CoV-2 variants, i.e., B.1.617.1 and B.1.617.2, during April–May 2021, which might be one of the key reasons for the sudden upsurge of confirmed cases/day. Furthermore, the emergence of the new variants contributed to the shift in infection spread by the G clade of SARS-CoV-2 from 46% in period II to 82.34% by the end of May 2021. Along with the management of the emergence of new variants, few factors viz., lockdown and vaccination were also accountable for controlling the upsurge of new COVID-19 cases throughout the country. Collectively, a comparative analysis of the scenario of the first wave with that of the second wave would suggest policymakers the way to prepare for better management of COVID-19 recurrence or its severity in India and other countries.

The effect of increased mobility on SARS-CoV-2 transmission: a descriptive study of the trends of COVID-19 in Zimbabwe between December 2020 and January 2021

Introduction

when the first cases of COVID-19 were reported in Zimbabwe in March 2020, the local outbreak was characterised by an insidious increase in national caseload. This first wave was mainly attributable to imported cases, peaking around July 2020. By October 2020, the number of cases reported daily had declined to less than 100 cases per day signalling the end of the first wave. This pattern mirrored the global trends. In December 2020, reports of new COVID-19 variants emerged and coincided with the beginning of the second wave within the ongoing pandemic. This paper reports on the analysis conducted on the new wave of COVID-19 beginning December 2020 to January 2021. The objective of this study was to document the evolving presumptive second wave of the COVID-19 pandemic in Zimbabwe from December 2020 to January 2021.

Methods

this is a retrospective analysis of secondary data extracted from the daily situation reports published by the Ministry of Health and Child Welfare, Zimbabwe and World Health Organization Country Office, Zimbabwe. The period under consideration started from 1^st December 2020 to 31^st January 2021.

Results

there was a 333% increase in the number of confirmed COVID-19 cases starting 1^st December 2020, to 31^st January 2021. These new cases were mainly attributed to community transmission though there were a few imported cases. There was a 439% increase in the absolute number of deaths; however, the case fatality rate remained low at 3.6%, and comparable to that from other countries. Harare, Bulawayo and Manical and provinces accounted for 60% of the case burden, with the other seven provinces only accounting for 40%. By mid-January, the number of incident COVID-19 cases started to decline significantly, to levels similar to the residual levels seen during the first wave.

Conclusion

the second wave, which lasted a period of less than 2 months, had a steep rise and sharp decline in the incident cases and fatalities. The steep rise was attributable to increased mobility, with a consequent increase in the chains of community transmission. The declines, noted from mid-January 2021, may be partly attributable to a strict national lockdown, though more in-depth exploration of the drivers of transmission is needed to tailor effective interventions for future control. Differentiated strategies maybe needed according to the case burdens in the different provinces. In anticipation of further waves, the introduction of safe and effective vaccines might be the game changer if the vaccines are widely availed to the population to levels adequate to achieve herd immunity. Meanwhile, infection prevention and control guidelines must continue to be observed.

How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study

Background: In face of the continuing worldwide COVID-19 epidemic, how to reduce the transmission risk of COVID-19 more effectively is still a major public health challenge that needs to be addressed urgently.

Objective: This study aimed to develop an age-structured compartment model to evaluate the impact of all diagnosed and all hospitalized on the epidemic trend of COVID-19, and explore innovative and effective releasing strategies for different age groups to prevent the second wave of COVID-19.

Methods: Based on three types of COVID-19 data in New York City (NYC), we calibrated the model and estimated the unknown parameters using the Markov Chain Monte Carlo (MCMC) method.

Results: Compared with the current practice in NYC, we estimated that if all infected people were diagnosed from March 26, April 5 to April 15, 2020, respectively, then the number of new infections on April 22 was reduced by 98.02, 93.88, and 74.08%. If all confirmed cases were hospitalized from March 26, April 5, and April 15, 2020, respectively, then as of June 7, 2020, the total number of deaths in NYC was reduced by 67.24, 63.43, and 51.79%. When only the 0–17 age group in NYC was released from June 8, if the contact rate in this age group remained below 61% of the pre-pandemic level, then a second wave of COVID-19 could be prevented in NYC. When both the 0–17 and 18–44 age groups in NYC were released from June 8, if the contact rates in these two age groups maintained below 36% of the pre-pandemic level, then a second wave of COVID-19 could be prevented in NYC.

Conclusions: If all infected people were diagnosed in time, the daily number of new infections could be significantly reduced in NYC. If all confirmed cases were hospitalized in time, the total number of deaths could be significantly reduced in NYC. Keeping a social distance and relaxing lockdown restrictions for people between the ages of 0 and 44 could not lead to a second wave of COVID-19 in NYC.

Circulating MR-proADM levels, as an indicator of endothelial dysfunction, for early risk stratification of mid-term mortality in COVID-19 patients

Objectives

Thromboinflammation, resulting from a complex interaction between thrombocytopathy, coagulopathy, and endotheliopathy, contributes to increased mortality in COVID-19 patients. MR-proADM, as a surrogate of adrenomedullin system disruption, leading to endothelial damage, has been reported as a promising biomarker for short-term prognosis. We evaluated the role of MR-proADM in the mid-term mortality in COVID-19 patients.

Methods

A prospective, observational study enrolling COVID-19 patients from August to October 2020. A blood sample for laboratory test analysis was drawn on arrival in the emergency department. The primary endpoint was 90-day mortality. The area under the curve (AUC) and Cox regression analyses were used to assess discriminatory ability and association with the endpoint.

Results

A total of 359 patients were enrolled, and the 90-day mortality rate was 8.9%. ROC AUC for MR-proADM predicting 90-day mortality was 0.832. An optimal cutoff of 0.80 nmol/L showed a sensitivity of 96.9% and a specificity of 58.4%, with a negative predictive value of 99.5%. Circulating MR-proADM levels (inverse transformed), after adjusting by a propensity score including eleven potential confounders, were an independent predictor of 90-day mortality (HR: 0.162 [95% CI: 0.043-0.480])

Conclusions

Our data confirm that MR-proADM has a role in the mid-term prognosis of COVID-19 patients and might assist physicians with risk stratification.

Consequences of the first and second COVID-19 wave on kidney transplant recipients at a large Indian transplant centre

Background

There is a scarcity of data comparing the consequences of first and second COVID‐19 waves on kidney transplant recipients (KTRs) in India.

Methods

We conducted a single‐centre retrospective study of 259 KTRs with COVID‐19 to compare first wave (March 15–December 31 2020, n = 157) and second wave (April 1–May 31 2021, n = 102).

Results

KTRs during second wave were younger (43 vs. 40 years; p‐value .04) and also included paediatric patients (0 vs. 5.9%; p‐value .003). Symptoms were milder during the second wave (45 vs. 62.7%; p‐value .007); COVID‐19 positive patients had less frequent cough (32 vs. 13.8%; p‐value .001), fever was less frequent (58 vs. 37%; p‐value .001), and we observed fewer co‐morbidities (11 vs. 20.6%; p‐value .04). The percentages of neutrophils (77 vs. 83%; p‐value .001) and serum ferritin (439 vs. 688; p‐value .0006) were higher during second wave, while lymphocyte counts were reduced (20 vs. 14%; p‐value .0001). Hydroxychloroquine (11 vs. 0%; p‐value .0001) and tocilizumab (7 vs. 0%; p‐value .004) were more frequently prescribed during first wave, while utilization of dexamethasone (6 vs. 27%; p‐value .0001) and remdesivir (47 vs. 65%; p‐value .03) increased during the second wave. Mucormycosis (1.3 vs. 10%; p‐value .01) and ICU admissions (20 vs. 37.2%; p‐value .002) were more frequent during second wave. The 28‐day mortality rate (9.6 vs. 10%; p‐value 1) was not different.

Conclusions

There has been a different clinical spectrum of COVID‐19 amongst KTR with similar mortality between the two waves at a large Indian transplant centre.

A large single centre study from India reporting on the health outcomes of COVID‐19 infected kidney transplant recipients during the two waves of between 2020 and 2021. The rate of intensive care admission was more frequent during the second wave of infection although mortality rates were similar in both waves.

Phylogenetic analysis of SARS-CoV-2 lineage development across the first and second waves in Eastern Germany in 2020: insights into the cause of the second wave

In Germany, Eastern regions had a mild first wave of coronavirus disease 2019 (COVID-19) from March to May 2020, but were badly hit by a second wave later in autumn and winter. It is unknown how the second wave was initiated and developed in Eastern Germany where the number of COVID-19 cases was close to zero in June and July 2020. We used genomic epidemiology to investigate the dynamic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage development across the first and second waves in Eastern Germany. With detailed phylogenetic analyses we could show that SARS-CoV-2 lineages prevalent in the first and second waves in Eastern Germany were different, with several new variants including four predominant lineages in the second wave, having been introduced into Eastern Germany between August and October 2020. The results indicate that the major driving force behind the second wave was the introduction of new variants.

SARS-CoV-2 Spike Mutations, L452R, T478K, E484Q and P681R, in the Second Wave of COVID-19 in Maharashtra, India

As the global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic expands, genomic epidemiology and whole genome sequencing are being used to investigate its transmission and evolution. Against the backdrop of the global emergence of "variants of concern" (VOCs) during December 2020 and an upsurge in a state in the western part of India since January 2021, whole genome sequencing and analysis of spike protein mutations using sequence and structural approaches were undertaken to identify possible new variants and gauge the fitness of the current circulating strains. Phylogenetic analysis revealed that newly identified lineages B.1.617.1 and B.1.617.2 were predominantly circulating. The signature mutations possessed by these strains were L452R, T478K, E484Q, D614G and P681R in the spike protein, including within the receptor-binding domain (RBD). Of these, the mutations at residue positions 452, 484 and 681 have been reported in other globally circulating lineages. The structural analysis of RBD mutations L452R, T478K and E484Q revealed that these may possibly result in increased ACE2 binding while P681R in the furin cleavage site could increase the rate of S1-S2 cleavage, resulting in better transmissibility. The two RBD mutations, L452R and E484Q, indicated decreased binding to select monoclonal antibodies (mAbs) and may affect their neutralization potential. Further in vitro/in vivo studies would help confirm the phenotypic changes of the mutant strains. Overall, the study revealed that the newly emerged variants were responsible for the second wave of COVID-19 in Maharashtra. Lineage B.1.617.2 has been designated as a VOC delta and B.1.617.1 as a variant of interest kappa, and they are being widely reported in the rest of the country as well as globally. Continuous monitoring of these and emerging variants in India is essential.

Comparison of Positivity Rates of Rapid Antigen Testing and Real-Time Polymerase Chain Reaction for COVID-19 During the First and Second Waves of the Pandemic in Eastern Uttar Pradesh, India

Background

The advent of the second wave of coronavirus disease 2019 (COVID-19) in India caused a new range of challenges in diagnosing the virus. Various point-of-care tests have been introduced for rapid diagnosis. Although rapid antigen tests are the most commonly used, the false-negative rates are high. Therefore, the purpose of this study was to compare the positivity rate of real-time polymerase chain reaction (RT-PCR) testing in rapid antigen-negative cases of COVID-19 during the first and second waves of the COVID-19 pandemic.

Methodology

This was an observational study conducted in the Department of Microbiology, All India Institute of Medical Sciences, Gorakhpur.

Results

In total, 2,168 patients were tested. The percentage positivity rate of the RT-PCR tests among the antigen-negative samples was 4.34% in the first wave of the pandemic whereas it was 8.08% in the second wave.

Conclusions

The main conclusion of this study was that antigen tests should never be used alone for the diagnosis of COVID-19. Instead, they should be confirmed with a RT-PCR test.

Untangling introductions and persistence in COVID-19 resurgence in Europe

After the first wave of SARS-CoV-2 infections in spring 2020, Europe experienced a resurgence of the virus starting in late summer 2020 that was deadlier and more difficult to contain1. Relaxed intervention measures and summer travel have been implicated as drivers of the second wave2. Here we build a phylogeographical model to evaluate how newly introduced lineages, as opposed to the rekindling of persistent lineages, contributed to the resurgence of COVID-19 in Europe. We inform this model using genomic, mobility and epidemiological data from 10 European countries and estimate that in many countries more than half of the lineages circulating in late summer resulted from new introductions since 15 June 2020. The success in onward transmission of newly introduced lineages was negatively associated with the local incidence of COVID-19 during this period. The pervasive spread of variants in summer 2020 highlights the threat of viral dissemination when restrictions are lifted, and this needs to be carefully considered in strategies to control the current spread of variants that are more transmissible and/or evade immunity. Our findings indicate that more effective and coordinated measures are required to contain the spread through cross-border travel even as vaccination is reducing disease burden.

Patient Characteristics and Clinical Course of COVID-19 Patients Treated at a German Tertiary Center during the First and Second Waves in the Year 2020

In this study, we directly compared coronavirus disease 2019 (COVID-19) patients hospitalized during the first (27 February-28 July 2020) and second (29 July-31 December 2020) wave of the pandemic at a large tertiary center in northern Germany. Patients who presented during the first (n = 174) and second (n = 331) wave did not differ in age (median [IQR], 59 years [46, 71] vs. 58 years [42, 73]; p = 0.82) or age-adjusted Charlson Comorbidity Index (median [IQR], 2 [1, 4] vs. 2 [0, 4]; p = 0.50). During the second wave, a higher proportion of patients were treated as outpatients (11% [n = 20] vs. 20% [n = 67]), fewer patients were admitted to the intensive care unit (43% [n = 75] vs. 29% [n = 96]), and duration of hospitalization was significantly shorter (median days [IQR], 14 [8, 34] vs. 11 [5, 19]; p < 0.001). However, in-hospital mortality was high throughout the pandemic and did not differ between the two periods (16% [n = 27] vs. 16% [n = 54]; p = 0.89). While novel treatment strategies and increased knowledge about the clinical management of COVID-19 may have resulted in a less severe disease course in some patients, in-hospital mortality remained unaltered at a high level. These findings highlight the unabated need for efforts to hamper severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) transmission, to increase vaccination coverage, and to develop novel treatment strategies to prevent mortality and decrease morbidity.

Lifestyle and Stress Management in Women During COVID-19 Pandemic: Impact on Cardiovascular Risk Burden

CoV-19/SARS-CoV-2 (coronavirus 2019/severe acute respiratory syndrome coronavirus 2) is a virus that has caused a pandemic with high numbers of deaths worldwide. To contain the diffusion of infection, several governments have enforced restrictions on outdoor activities on the population. Today, we are witnessing the so-called "second wave" COVID-19 (coronavirus disease 2019) with an increasing number of cases similar to the one reported at the beginning of the current year. It is plausible that further restrictions will be applied to contain the "second wave" of infections. The present commentary evaluated the effects of stress on lifestyle during the COVID-19 pandemic in women. We briefly suggest practical recommendations for women to reduce stress and recovery for a healthy lifestyle after quarantine. Quarantine is associated with stress and depression, which lead to unhealthy lifestyle, including unhealthy diet, smoking, alcohol, and reduced physical activity. Women are more likely to suffer from depression and stress and quarantine has acted as a trigger. The prolongation of the COVID-19 pandemic around the world requires decisive action to correct the unhealthy lifestyle that has developed in recent months.

Surveillance of the Second Wave of COVID-19 in Europe: Longitudinal Trend Analyses

BACKGROUND

The COVID-19 pandemic has severely impacted Europe, resulting in a high caseload and deaths that varied by country. The second wave of the COVID-19 pandemic has breached the borders of Europe. Public health surveillance is necessary to inform policy and guide leaders.

OBJECTIVE

This study aimed to provide advanced surveillance metrics for COVID-19 transmission that account for weekly shifts in the pandemic, speed, acceleration, jerk, and persistence, to better understand countries at risk for explosive growth and those that are managing the pandemic effectively.

METHODS

We performed a longitudinal trend analysis and extracted 62 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in Europe as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R.

RESULTS

New COVID-19 cases slightly decreased from 158,741 (week 1, January 4-10, 2021) to 152,064 (week 2, January 11-17, 2021), and cumulative cases increased from 22,507,271 (week 1) to 23,890,761 (week 2), with a weekly increase of 1,383,490 between January 10 and January 17. France, Germany, Italy, Spain, and the United Kingdom had the largest 7-day moving averages for new cases during week 1. During week 2, the 7-day moving average for France and Spain increased. From week 1 to week 2, the speed decreased (37.72 to 33.02 per 100,000), acceleration decreased (0.39 to -0.16 per 100,000), and jerk increased (-1.30 to 1.37 per 100,000).

CONCLUSIONS

The United Kingdom, Spain, and Portugal, in particular, are at risk for a rapid expansion in COVID-19 transmission. An examination of the European region suggests that there was a decrease in the COVID-19 caseload between January 4 and January 17, 2021. Unfortunately, the rates of jerk, which were negative for Europe at the beginning of the month, reversed course and became positive, despite decreases in speed and acceleration. Finally, the 7-day persistence rate was higher during week 2 than during week 1. These measures indicate that the second wave of the pandemic may be subsiding, but some countries remain at risk for new outbreaks and increased transmission in the absence of rapid policy responses.