COVID-19 mobility restrictions and stay-at-home behaviour in 2020 were associated with higher retail food prices worldwide.

COVID-19 policy responses have included mobility restrictions, and many people have chosen to stay at home to avoid exposure. These actions have ambiguous impacts on food prices, lowering demand for food away from home and perishables, while increasing supply costs for items where workers are most affected by the pandemic. We use evidence from 160 countries to identify the net direction and magnitude of association between countries' real cost of all food and mobility restriction stringency. We investigate the deviation of each month's price level in 2020 from that month's average price level during the previous three years and find that an increase in mobility restriction stringency from no restrictions to most restrictive is associated with an increase in the real cost of all food of more than one percentage point across all models. We then examine the relationship between retail food price levels by food group and stay-at-home behaviour around markets in 36 countries and find positive associations for non-perishables, dairy and eggs.

Self perceived health and stress in the pregnancy during the COVID-19 pandemic.

Introduction: The COVID-19 pandemic has had numerous maternal and neonatal consequences, especially at the mental level. Pregnant women experience a rise in anxiety symptoms and prenatal stress. Aims: The aim was to describe self-perceived health status, general stress and prenatal stress and to analyze relations and associations with sociodemographic factors. Methods: A quantitative, descriptive and cross-sectional study was conducted using non-probabilistic circumstantial sampling. The sample was recruited during the first trimester of pregnancy during the control obstetrical visit. The Google Forms platform was used. A total of 297 women participated in the study. The Prenatal Distress Questionnaire (PDQ), the Perceived Stress Score (PSS) and the General Health Questionnaire (GHQ-28) were used. Results: Primiparas presented higher levels of worry about childbirth and the baby (10.93 ± 4.73) than multiparous women (9.88 ± 3.96). Somatic symptoms were present in 6% of the women. Anxiety-insomnia was scored positively by 18% of the women. In the Spearman correlation analysis, statistically significant values were found between almost all study variables. A positive correlation was observed between self-perceived health and prenatal and general stress levels. Discussion: During the first trimester of gestation, prenatal concerns increase when levels of anxiety, insomnia and depression also increase. There is a clear relationship between prenatal worries, anxiety, insomnia and depression with stress. Health education that focuses on mental health of pregnant women would help reduce worries during pregnancy and would improve the pregnant women perception of her health and well-being.

Psychosocial changes during COVID-19 lockdown on nursing home residents, their relatives and clinical staff: a prospective observational study.

BACKGROUND: Previous works have observed an increase of depression and other psychological disorders on nursing home residents as a consequence of coronavirus disease 2019 (COVID-19) lockdown; however, there are few studies that have performed a comprehensive evaluation of all people involved in nursing homes environment. The objective of the work was to analyse the impact of lockdown on psychosocial factors of nursing home residents, relatives and clinical staff and how these variables have influenced residents' survival. METHODS: A prospective study was designed. Evaluations were performed at three different times: a) at the beginning of Spanish confinement, in March 2020; b) just before the second wave of the pandemic, with relaxation of security measures but in lockdown, and c) in January-February 2021, at the end of the second wave, when visits were already allowed. The study was conducted on three different nursing homes. Three hundred and one residents, 119 clinical staff and 51 relatives took part in the study. Anxiety and depression were evaluated in all participants. A scale on the meaning of suffering was also performed. In addition, burnout status was also determined in the clinical staff. RESULTS: All participants showed lower depression during lockdown, while at the beginning and at the end of the confinement, these values were significantly increased. In residents, these changes were dependent of cognitive status (p = 0.012). Anxiety was significantly higher in residents. The evolution of anxiety was similar than with depression, with lower values during confinement, although clinical staff showed higher anxiety levels at the beginning. The feeling of suffering was significantly lower in the clinical staff than in resident and relative groups. Residents' survival was dependent of cognitive status (p = 0.018) and voluntary confinement (p < 0.001). CONCLUSIONS: During the first COVID-19 lockdown, psychological wellbeing of residents cared in nursing homes, their relatives and staff did not seem to be seriously affected. Previous mental health in relatives and staff together with a resilient approach to the adversity might partly be protecting factors. The lack of consequences on residents' anxiety, depression and perception of social support may reflect the special attention and care they received. Finally, as in the current study only data of the first two COVID-19 waves were analysed, its findings might be partly generalized to all the pandemic.

Leadership and contagion by COVID-19 among residence hall students: A social network analysis approach.

University students have changed their behaviour due to the COVID-19 pandemic. In this paper, we describe the characteristics of PCR+ and PCR- nodes, analyse the structure, and relate the structure of student leaders to pandemic contagion as determined by PCR+ in 93 residential university students. Leadership comes from the male students of social science degrees who have PCR +, with an eigenvector centrality structure, ß-centrality, and who are part of the bow-tie structure. There was a significant difference in ß-centrality between leaders and non-leaders and in ß-centrality between PCR+ and non-leaders. Leading nodes were part of the bow-tie structure. MR-QAP results show how residence and scientific branch were the most important factors in network formation. Therefore, university leaders should consider influential leaders, as they are vectors for disseminating both positive and negative outcomes.

Guiding the design of SARS-CoV-2 genomic surveillance by estimating the resolution of outbreak detection

Genomic surveillance of SARS-CoV-2 has been essential to inform public health response to outbreaks. The high incidence of infection has resulted in a smaller proportion of cases undergoing whole genome sequencing due to finite resources. We present a framework for estimating the impact of reduced depths of genomic surveillance on the resolution of outbreaks, based on a clustering approach using pairwise genetic and temporal distances. We apply the framework to simulated outbreak data to show that outbreaks are detected less frequently when fewer cases are subjected to whole genome sequencing. The impact of sequencing fewer cases depends on the size of the outbreaks, and on the genetic and temporal similarity of the index cases of the outbreaks. We also apply the framework to an outbreak of the SARS-CoV-2 Delta variant in New South Wales, Australia. We find that the detection of clusters in the outbreak would have been delayed if fewer cases had been sequenced. Existing recommendations for genomic surveillance estimate the minimum number of cases to sequence in order to detect and monitor new virus variants, assuming representative sampling of cases. Our method instead measures the resolution of clustering, which is important for genomic epidemiology, and accommodates sampling biases.

Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance.

Co-infections with different variants of SARS-CoV-2 are a key precursor to recombination events that are likely to drive SARS-CoV-2 evolution. Rapid identification of such co-infections is required to determine their frequency in the community, particularly in populations at-risk of severe COVID-19, which have already been identified as incubators for punctuated evolutionary events. However, limited data and tools are currently available to detect and characterise the SARS-CoV-2 co-infections associated with recognised variants of concern. Here we describe co-infection with the SARS-CoV-2 variants of concern Omicron and Delta in two epidemiologically unrelated adult patients with chronic kidney disease requiring maintenance haemodialysis. Both variants were co-circulating in the community at the time of detection. Genomic surveillance based on amplicon- and probe-based sequencing using short- and long-read technologies identified and quantified subpopulations of Delta and Omicron viruses in respiratory samples. These findings highlight the importance of integrated genomic surveillance in vulnerable populations and provide diagnostic pathways to recognise SARS-CoV-2 co-infection using genomic data.

Nosocomial COVID-19 Infection in a Long-Term Hospital in Spain: Retrospective Observational Study.

Background and Objectives. The aim of this study is to compare clinical and epidemiological characteristics and outcomes in patients with versus without nosocomial COVID-19 after exposure to SARS-CoV-2 and to analyze the risk factors for severe outcomes of COVID-19 in a long-term hospital in Spain. Materials and methods. This retrospective, single-center observational study included all inpatients in a long-term hospital during a COVID-19 outbreak from 21 January to 15 March 2021. Results. Of 108 admitted patients, 65 (60.2%) were diagnosed with nosocomial COVID-19 disease (n = 34 women (52.3%), median age 77 years). In the univariable analysis, risk factors associated with nosocomial COVID-19 were dementia (OR 4.98 95% CI 1.58-15.75), dyspnea (OR 5.34 95% CI 1.69-16.82), asthenia (OR 5.10, 95% CI 1.40-18.60) and NECesidades PALiativas (NECPAL) (OR 1.28 95% CI 1.10-1.48). In the multivariable analysis, risk factors independently associated with nosocomial COVID-19 infection were dyspnea (aOR 7.39; 95% CI 1.27-43.11) and NECPAL (aOR 1.25; 95% CI 1.03-1.52). Of the 65 patients diagnosed with nosocomial COVID-19, 29 (44.6%) died, compared to 7/43 (16.2%) non-infected patients (OR 4.14, 95% CI 1.61-10.67). Factors associated with mortality in nosocomial COVID-19 were confusion (aOR 3.83; 95% CI 1.03-14.27) and dyspnea (aOR 7.47; 95% CI 1.87-29.82). The NECPAL tool played an important predictive role in both nosocomial COVID-19 infection and mortality (aOR 1.19, 95% CI: 1.00-1.41). Conclusions. In a long-term hospital, nosocomial COVID-19 main clinical characteristics associated with infection were dyspnea and NECPAL. Mortality was higher in the group with nosocomial COVID-19; risk factors were confusion and dyspnea. The NECPAL tool may help to predict progression and death in COVID-19.

A retrospective analysis of incidence and severity of COVID-19 among hypertensive patients: the other side.

OBJECTIVE: The role of hypertension in COVID-19 has not been clearly elucidated yet. The aim of this study was to evaluate the incidence and severity of COVID-19 in a hypertensive population and assess whether there is a link between blood pressure control and SARS-CoV-2 infection outcomes. METHODS: This was a single-center retrospective observational study that evaluated the incidence and severity of COVID-19 in a chronic hypertensive population (n=1,637) from a specialized consultation of Hypertension and Cardiovascular Risk of Internal Medicine in a tertiary hospital in Madrid (Spain). RESULTS: A total of 147 COVID-19 patients (9%) were found, with a median age of 59 (±14) years, where 77 (52.4%) patients were male. Forty patients required hospitalization (27.2%), 15 patients had severe COVID-19 (10.2%), and 6 patients died (4.1%). Among the causes of hypertension, 104 (70.7%) patients had essential hypertension and 22 (15%) patients presented primary hyperaldosteronism; and 66 (44.9%) patients presented RH. Severe COVID-19 was associated with age over 65 years (crude OR 4.43 [95% CI 1.3-14.2; p = .012]) and diabetes mellitus (crude OR 4.15 [95% CI 1.3-12.9; p = .014]). CONCLUSION: This study showed a lower rate of incidence, hospitalization, and severity of COVID-19 in the hypertensive population.

High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza.

The purpose of the study was to analyze the relationship between the high-sensitivity troponin T levels in patients with confirmed influenza virus infection and its severity determined by mortality during the care process. In addition, a high-sensitivity troponin T cut-off value was sought to allow us to a safe discharge from the emergency department. An analytical retrospective observational study was designed in which high-sensitivity troponin T is determined as an exposure factor, patients are followed until the resolution of the clinical picture, and the frequency of mortality is analyzed. We included patients ≥ 16 years old with confirmed influenza virus infection and determination of high-sensitivity troponin T. One hundred twenty-eight patients were included (96.9% survivors, 3.1% deceased). Mean and median blood levels of high-sensitivity troponin T of survivors were 26.2 ± 58.3 ng/L and 14.5 ng/L (IQR 16 ng/L), respectively, and were statistically different when compared with those of the deceased patients, 120.5 ± 170.1 ng/L and 40.5 ng/L (IQR 266.5 ng/L), respectively, p = 0.012. The Youden index using mortality as the reference method was 0.76, and the cut-off value associated with this index was 24 ng/L (sensitivity 100%, specificity 76%, NPV 100%, PPV 4%) with AUC of 88,8% (95% CI: 79.8-92.2%), p < 0.001. We conclude that high-sensitivity troponin T levels in confirmed virus influenza infection are a good predictor of mortality in our population, and this predictor is useful for safely discharging patients from the emergency department.

CA 15-3 prognostic biomarker in SARS-CoV-2 pneumonia.

The severity of lung involvement is the main prognostic factor in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Carbohydrate antigen 15-3 (CA 15-3), a marker of lung damage and fibrosis, could help predict the prognosis of SARS-CoV-2 pneumonia. This was a retrospective and observational study. CA 15-3 was analyzed in the blood samples of patients consecutively admitted for SARS-CoV-2 pneumonia and whose blood samples were available in the biobank. Other prognostic markers were also measured (interleukin 6 [IL6], C-reactive protein [CRP], D-dimer, troponin T, and NT-ProBNP). The occurrence of in-hospital complications was registered, including death, the need for medical intensive care, and oxygen therapy at discharge. In this study, 539 patients were recruited (54.9% men, mean age: 59.6 ± 16.4 years). At admission, the mean concentrations of CA 15-3 was 20.5 ± 15.8 U/mL, and the concentration was correlated with male sex, older age, and other severity markers of coronavirus disease of 2019 (COVID-19) (IL6, CRP, D-dimer, troponine T, and NT-ProBNP). CA 15-3 levels were higher in patients who died (n = 56, 10.4%) (35.33 ± 30.45 vs. 18.8 ± 12.11, p < 0.001), who required intensive medical support (n = 78, 14.4%; 31.17 ± 27.83 vs. 18.68 ± 11.83; p < 0.001), and who were discharged with supplemental oxygen (n = 64, 13.3%; 22.65 ± 14.41 vs. 18.2 ± 11.7; p = 0.011). Elevated CA 15-3 levels (above 34.5 U/mL) were a strong predictor of a complicated in-hospital course, in terms of a higher risk of death (adjusted odds ratio [OR] 3.74, 95% confidence interval [CI]: 1.22-11.9, p = 0.022) and need for intensive care (adjusted OR 4.56, 95% CI: 1.37-15.8) after adjusting for all other risk factors. The degree of lung damage and fibrosis evaluated in terms of CA 15-3 concentrations may allow early identification of the increased risk of complications in patients with SARS-CoV-2 pneumonia.

Disparities in time to start of definitive radiation treatment for patients with locally advanced cervical cancer.

BACKGROUND: Chemoradiation or radiation therapy alone are curative standards for patients with locally advanced cervical cancer. OBJECTIVE: To investigate factors that influence time to initiation of chemoradiation or radiation and the subsequent impact of time to treatment on recurrence and survival outcomes. METHODS: Patients with locally advanced cervical cancer treated with definitive chemoradiation or radiation at our institution between November 2015 and August 2020 were retrospectively identified. Time to treatment initiation was defined as the number of days from date of diagnosis (via biopsy) to the start date of radiation. The cohort was stratified by the median time to treatment into early (<75 days) and delayed (≥75 days) cohorts. Multivariable logistic regression was conducted to examine factors associated with delayed time to treatment. RESULTS: We identified 143 patients with locally advanced cervical cancer who underwent definitive chemoradiation or radiation. Median follow-up time was 18 months (range 2-62). A total of 71 (49.7%) patients had time to treatment <75 days and 72 (50.3%) patients had time to treatment ≥75 days. The delayed cohort had a higher proportion of Hispanic patients (51.4% vs 31.0%, p=0.04). In multivariable modeling, Hispanic women were 2.71 times more likely (p=0.04) to undergo delayed time to treatment than non-Hispanic white women. Additionally, patients with stage >IIB disease were less likely to undergo delayed time to treatment (OR 0.26, p=0.02) than patients with stage

Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data.

When responding to infectious disease outbreaks, rapid and accurate estimation of the epidemic trajectory is critical. However, two common data collection problems affect the reliability of the epidemiological data in real time: missing information on the time of first symptoms, and retrospective revision of historical information, including right censoring. Here, we propose an approach to construct epidemic curves in near real time that addresses these two challenges by 1) imputation of dates of symptom onset for reported cases using a dynamically-estimated "backward" reporting delay conditional distribution, and 2) adjustment for right censoring using the NobBS software package to nowcast cases by date of symptom onset. This process allows us to obtain an approximation of the time-varying reproduction number (Rt) in real time. We apply this approach to characterize the early SARS-CoV-2 outbreak in two Spanish regions between March and April 2020. We evaluate how these real-time estimates compare with more complete epidemiological data that became available later. We explore the impact of the different assumptions on the estimates, and compare our estimates with those obtained from commonly used surveillance approaches. Our framework can help improve accuracy, quantify uncertainty, and evaluate frequently unstated assumptions when recovering the epidemic curves from limited data obtained from public health systems in other locations.

Venovenous extracorporeal life support circuit exchange: Tips and pitfalls.

Extracorporeal life support is a well-known therapy for acute respiratory failure. Its use has increased exponentially in recent years, even more since the beginning of the SARS-CoV-2 pandemic. Patients with COVID-19 may need long-term extracorporeal life support runs. They also suffer coagulation derangements that cause a prothrombotic state. Both situations may increase the need for exchanges of extracorporeal life support circuits. Extracorporeal life support circuit exchange should be performed as quickly and as safely as possible because patients may be completely dependent on it.

Family-centred care of patients admitted to the intensive care unit in times of COVID-19: A systematic review.

OBJECTIVES: To describe clinical practice interventions aimed at providing Family-Centred Care in intensive care units during the COVID-19 pandemic. RESEARCH METHODOLOGY: A systematic review was carried out following the PRISMA recommendations in various databases: PubMed, Cinahl, Web of Science, Scopus, and Google Scholar were consulted, as well as within the grey literature found on the web pages of official organizations related to Intensive Care Medicine and Nursing. SETTING: Adult intensive care unit. RESULTS: The search yielded 209 documents of which 24 were included in this review: eight qualitative studies, seven protocols and recommendations from official bodies, one mixed-method studies, five descriptive studies, one cross-sectional study, one pilot program and one literature review. A thematic analysis revealed four major themes: the use of communication systems, multidisciplinary interventions; the promotion of family engagement and family support. The results show different strategies that can be implemented in clinical practice to solve the difficulties encountered in Family-Centred Care in critical care units during the COVID-19 pandemic. CONCLUSIONS: There is a great variety in the nature of the interventions developed, with the use of telecommunication systems in daily practice being the most repeated aspect. Future research should aim to assess whether the interventions implemented increase the quality of patient and family care by meeting their needs.

Anxiety and depression in patients with advanced cancer during the COVID-19 pandemic.

OBJECTIVE: Cancer patients are at increased risk for psychological difficulties and COVID-19. We sought to analyze anxiety and depression levels during the COVID-19 pandemic and the association between sociodemographic, clinical, and psychological factors in patients with advanced cancer. METHODS: A prospective, multicenter cohort of 401 consecutive patients with newly diagnosed, advanced cancer completed the Brief Symptom Inventory, Michel Uncertainty in Illness Scale, Herth Hope Index, and Cancer Worry Scale between February 2020 and May 2021. Linear regression analyses explored the effects of uncertainty, hopelessness, and cancer worry on anxiety and depression, adjusting for sociodemographic and clinical variables. RESULTS: The incidence of anxiety and depression was 36% and 35%, respectively. Emotional distress was greater among women, patients < 65 years of age, and those with an estimated survival of > 18 months. Linear regression analysis revealed that being female, preoccupation about cancer, and hopelessness were associated with increased levels of anxiety (p < 0.001) and depression (p < 0.001) and younger age was associated with a higher risk of anxiety. No differences in anxiety or depression levels were found in relation to marital status, children, educational level, cancer type, histology, stage, or type of treatment. CONCLUSIONS: Patients with advanced cancer who initiated treatment during the pandemic experienced high levels of depression and anxiety. Early diagnosis and the development of intervention strategies are necessary, especially for specific patient subgroups, such as young women with long survival times.

Adaptation to Change Questionnaire for Nurses: Validation and New Needs in the Context of COVID-19.

BACKGROUND: The worldwide pandemic caused by the SARS-CoV-2 coronavirus has challenged healthcare systems and the professionals who work in them. This challenge involves strong changes to which nurses have had to quickly adapt. Emotional and cognitive-behavioral factors influence the capacity for adaptation to change. Based on this model, the objective of this study was to validate the Adaptation to Change Questionnaire (ADAPTA-10) for identifying professionals in a population of nurses who have problems adapting to adverse situations such as those caused by COVID-19. METHODS: This study was performed with a sample of 351 nurses. (3) Results: The ADAPTA-10 questionnaire was found to have good psychometric properties, and to be an effective, useful tool for nurses in research and clinical practice. The two-dimensional structure proposed in the original model was confirmed. Scales are also provided by sex for evaluation of adaptation to change; the highest scores on the emotional component were among nurses who had not personally encountered the virus. CONCLUSIONS: This instrument will be able to detect of the needs for adaptation to the new reality associated with COVID-19, as well as other situations in which nurses are immersed that demand adaptation strategies.

Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia.

OBJECTIVE: To adapt 'fishplots' to describe real-time evolution of SARS-CoV-2 genomic clusters. RESULTS: This novel analysis adapted the fishplot to depict the size and duration of circulating genomic clusters over time in New South Wales, Australia. It illuminated the effectiveness of interventions on the emergence, spread and eventual elimination of clusters and distilled genomic data into clear information to inform public health action.

Nursing students' experience of providing frontline COVID-19 support: A qualitative study.

Understanding the unique experience of nursing students providing frontline support in COVID-19 hospital wards is crucial for the design of strategies to improve crisis management and mitigate future pandemic outbreaks. Limited research concerning this phenomenon has been published. This qualitative study aimed to understand the experience of providing support from COVID-19 frontline nursing students' perspective. Online interviews were conducted with nine nursing students from April to May 2020; interview data were analyzed by content analysis using Burnard's method. Six main categories emerged from the data analysis: "experiencing a rapid transition from student to professional," "fear and uncertainty of the unknown," "resilience throughout the crisis," "sense of belonging to a team," "shared responsibility," and "importance of the profession." Based on these findings, multicomponent strategies that function in parallel with practical contexts should be developed to enable students to diligently adapt their abilities to their new role and cope with health crises.