Predicting acute kidney injury onset with a random forest algorithm using electronic medical records of COVID-19 patients: the CRACoV-AKI model.

INTRODUCTION: Acute kidney injury (AKI) is a serious and common complication of SARS­CoV­2 infection. Most risk assessment tools for AKI have been developed in the intensive care unit or in elderly populations. As the COVID­19 pandemic is transitioning into an endemic phase, there is an unmet need for prognostic scores tailored to the population of patients hospitalized for this disease. OBJECTIVES: We aimed to develop a robust predictive model for the occurrence of AKI in hospitalized patients with COVID­19. PATIENTS AND METHODS: Electronic medical records of all adult inpatients admitted between March 2020 and January 2022 were extracted from the database of a large, tertiary care center with a reference status in Lesser Poland. We screened 5806 patients with SARS­CoV­2 infection confirmed with a polymerase chain reaction test. After excluding individuals with lacking data on serum creatinine levels and those with a mild disease course (<7 days of inpatient care), a total of 4630 records were considered. Data were randomly split into training (n = 3462) and test (n = 1168) sets. A random forest model was tuned with feature engineering based on expert advice and metrics evaluated in nested cross­validation to reduce bias. RESULTS: Nested cross­validation yielded an area under the curve ranging between 0.793 and 0.807, and an average performance of 0.798. Model explanation techniques from a global perspective suggested that a need for respiratory support, chronic kidney disease, and procalcitonin concentration were among the most important variables in permutation tests. CONCLUSIONS: The CRACoV­AKI model enables AKI risk stratification among hospitalized patients with COVID­19. Machine learning-based tools may thus offer additional decision­making support for specialist providers.

Phylodynamic evolution of HIV-1 A6 sub-subtype epidemics in Poland.

The human immunodeficiency virus type 1 (HIV-1) A6 sub-subtype is highly prevalent in Eastern Europe. Over the past decade, the dissemination of the A6 lineage has been expanding in Poland. The recent Russian invasion of Ukraine may further escalate the spread of this sub-subtype. While evolutionary studies using viral sequences have been instrumental in identifying the HIV epidemic patterns, the origins, and dynamics of the A6 sub-subtype in Poland remain to be explored. We analyzed 1185 HIV-1 A6 pol sequences from Poland, along with 8318 publicly available sequences from other countries. For analyses, phylogenetic tree construction, population dynamics inference, Bayesian analysis, and discrete phylogeographic modeling were employed. Of the introduction events to Poland, 69.94% originated from Ukraine, followed by 29.17% from Russia. Most A6 sequences in Poland (53.16%) formed four large clades, with their introductions spanning 1993-2008. Central and Southern Polish regions significantly influenced migration events. Transmissions among men who have sex with men (MSM) emerged as the dominant risk group for virus circulation, representing 72.92% of migration events. Sequences from migrants were found primarily outside the large clades. Past migration from Ukraine has fueled the spread of the A6 sub-subtype and the current influx of war-displaced people maintains the growing national epidemic.

Serial echocardiographic evaluation of COVID-19 patients without prior history of structural heart disease: a 1-year follow-up CRACoV-HHS study.

Background: It is a well-known fact that COVID-19 affects the cardiovascular system by exacerbating heart failure in patients with preexisting conditions. However, there is a poor insight into the cardiovascular involvement and sequelae in patients without preexisting conditions. The aim of the study is to analyse the influence of COVID-19 on cardiac performance in patients without prior history of structural heart disease. The study is part of the CRACoV project, which includes a prospective design and a 12-month follow-up period. Material and methods: The study included 229 patients hospitalised with a diagnosis of COVID-19 (median age of 59 years, 81 were women). A standard clinical assessment and laboratory tests were performed in all participants. An extended echocardiographic image acquisition was performed at baseline and at a 3-, 6-, and 12-month follow-up. All analyses were performed off-line. A series of echocardiographic parameters was compared using repeated measures or Friedman analysis of variance. Results: In all subjects, the left ventricular (LV) ejection fraction at baseline was preserved [63.0%; Q1:Q3 (60.0-66.0)]. Elevated levels of high-sensitivity cardiac troponin T were detected in 21.3% of the patients, and elevated NT-proBNP levels were detected in 55.8%. At the 1-year follow-up, no significant changes were observed in the LV diameter and volume (LV 48.0 ± 5.2 vs. 47.8 ± 4.8 mm, p = 0.08), while a significant improvement of the parameters in the biventricular strain was observed (LV -19.1 ± 3.3% vs. -19.7 ± 2.5%, p = 0.01, and right ventricular -19.9 ± 4.5% vs. -23.2 ± 4.9%, p = 0.002). In addition, a decrease in the LV wall thickness was also observed (interventricular septum 10.4 ± 1.6 vs. 9.7 ± 2.0 mm, p < 0.001; LV posterior wall 9.8 ± 1.4 vs. 9.1 ± 1.5 mm, p < 0.001). Conclusions: In an acute phase of COVID-19, the elevation of cardiac biomarkers in patients with normal left ventricular ejection fraction is a frequent occurrence; however, it does not translate into clinically significant cardiac dysfunction after 1 year. The serial echocardiographic evaluations conducted in patients without preexisting structural heart disease demonstrate an overall trend towards an improved cardiac function and a reduced myocardial thickening at 1-year follow-up. This suggests that the acute cardiac consequences of COVID-19 are associated with systemic inflammation and haemodynamic stress in patients without preexisting conditions.

Effectiveness and Safety of SARS-CoV-2 Vaccination in HIV-Infected Patients-Real-World Study.

The development of COVID-19 vaccines has been a triumph of biomedical research. However, there are still challenges, including assessment of their immunogenicity in high-risk populations, including PLWH. In the present study, we enrolled 121 PLWH aged >18 years, that were vaccinated against COVID-19 in the Polish National Vaccination Program. Patients filled in questionnaires regarding the side effects of vaccination. Epidemiological, clinical, and laboratory data were collected. The efficacy of COVID-19 vaccines was evaluated with an ELISA that detects IgG antibodies using a recombinant S1 viral protein antigen. The interferon-gamma release assay (IGRA) was applied to quantitate interferon-gamma (IFN-γ) to assess cellular immunity to SARS-CoV-2. In total, 87 patients (71.9%) received mRNA vaccines (BNT162b2-76 (59.5%), mRNA-1273- 11 (9.1%)). A total of 34 patients (28.09%) were vaccinated with vector-based vaccines (ChAdOx Vaxzevria- 20 (16.52%), Ad26.COV2.S- 14 (11.6%)). A total of 95 (78.5%) of all vaccinated patients developed a protective level of IgG antibodies. Only eight PLWH (6.6%) did not develop cellular immune response. There were six patients (4.95%) that did not develop a cellular and humoral response. Analysis of variance proved that the best humoral and cellular response related to the administration of the mRNA-1273 vaccine. COVID-19 vaccines were found to be immunogenic and safe in PLWH. Vaccination with mRNA vaccines were related to better humoral and cellular responses.

Artificial intelligence guided HRCT assessment predicts the severity of COVID-19 pneumonia based on clinical parameters.

BACKGROUND: The purpose of the study was to compare the results of AI (artificial intelligence) analysis of the extent of pulmonary lesions on HRCT (high resolution computed tomography) images in COVID-19 pneumonia, with clinical data including laboratory markers of inflammation, to verify whether AI HRCT assessment can predict the clinical severity of COVID-19 pneumonia. METHODS: The analyzed group consisted of 388 patients with COVID-19 pneumonia, with automatically analyzed HRCT parameters of volume: AIV (absolute inflammation), AGV (absolute ground glass), ACV (absolute consolidation), PIV (percentage inflammation), PGV (percentage ground glass), PCV (percentage consolidation). Clinical data included: age, sex, admission parameters: respiratory rate, oxygen saturation, CRP (C-reactive protein), IL6 (interleukin 6), IG - immature granulocytes, WBC (white blood count), neutrophil count, lymphocyte count, serum ferritin, LDH (lactate dehydrogenase), NIH (National Institute of Health) severity score; parameters of clinical course: in-hospital death, transfer to the ICU (intensive care unit), length of hospital stay. RESULTS: The highest correlation coefficients were found for PGV, PIV, with LDH (respectively 0.65, 0.64); PIV, PGV, with oxygen saturation (respectively - 0.53, -0.52); AIV, AGV, with CRP (respectively 0.48, 0.46); AGV, AIV, with ferritin (respectively 0.46, 0.45). Patients with critical pneumonia had significantly lower oxygen saturation, and higher levels of immune-inflammatory biomarkers on admission. The radiological parameters of lung involvement proved to be strong predictors of transfer to the ICU (in particular, PGV ≥ cut-off point 29% with Odds Ratio (OR): 7.53) and in-hospital death (in particular: AIV ≥ cut-off point 831 cm3 with OR: 4.31). CONCLUSIONS: Automatic analysis of HRCT images by AI may be a valuable method for predicting the severity of COVID-19 pneumonia. The radiological parameters of lung involvement correlate with laboratory markers of inflammation, and are strong predictors of transfer to the ICU and in-hospital death from COVID-19. TRIAL REGISTRATION: National Center for Research and Development CRACoV-HHS project, contract number SZPITALE-JEDNOIMIENNE/18/2020.

Circulation of Human Immunodeficiency Virus 1 A6 Variant in the Eastern Border of the European Union-Dynamics of the Virus Transmissions Between Poland and Ukraine.

BACKGROUND: The human immunodeficiency virus (HIV) type 1 A6 variant is dominating in high-prevalence Eastern European countries, with increasing prevalence over the remaining regions of Europe. The recent war in Ukraine may contribute to further introductions of this A6 lineage. Our aim was to model the transmission dynamics of the HIV-1 A6 variant between Poland and Ukraine. METHODS: HIV-1 A6 partial pol sequences originating from Poland (n = 1185) and Ukraine (n = 653) were combined with publicly available sequences (n = 7675) from 37 other countries. We used maximum likelihood-based tree estimation followed by a bayesian inference strategy to characterize the putative transmission clades. Asymmetric discrete phylogeographic analysis was used to identify the best-supported virus migration events across administrative regions of Poland and Ukraine. RESULTS: We identified 206 clades (n = 1362 sequences) circulating in Poland or Ukraine (63 binational clades, 79 exclusively Polish, and 64 exclusively Ukrainian). Cross-border migrations were almost exclusively unidirectional (from Ukraine to Poland, 99.4%), mainly from Eastern and Southern Ukraine (Donetsk, 49.7%; Odesa, 17.6% regions) to the Central (Masovian, 67.3%; Lodz, 18.2%) and West Pomeranian (10.1%) districts of Poland. The primary sources of viral dispersal were the Eastern regions of Ukraine, long affected by armed conflict, and large population centers in Poland. CONCLUSIONS: The Polish outbreak of the A6 epidemic was fueled by complex viral migration patterns across the country, together with cross-border transmissions from Ukraine. There is an urgent need to include war-displaced people in the national HIV prevention and treatment programs to reduce the further spread of transmission networks.

Clinical Perspective on Human Immunodeficiency Virus Care of Ukrainian War Refugees in Poland.

BACKGROUND: The Russian invasion of Ukraine forced migration for safety, protection, and assistance. Poland is the primary sheltering country for Ukrainian refugees, providing support including medical care, which resulted in the rapid ∼15% increase in the number of followed-up people with human immunodeficiency virus (HIV) (PWH) in the country. Here, we present the national experience on HIV care provided for refugees from Ukraine. METHODS: Clinical, antiretroviral, immunological, and virologic data from 955 Ukrainian PWH entering care in Poland since February 2022 were analyzed. The dataset included both antiretroviral-treated (n = 851) and newly diagnosed (n = 104) patients. In 76 cases, protease/reverse transcriptase/integrase sequencing was performed to identify drug resistance and subtype. RESULTS: Most (70.05%) of the patients were female, with a predominance of heterosexual (70.3%) transmissions. Anti-hepatitis C antibody and hepatitis B antigen were present in 28.7% and 2.9% of the patients, respectively. A history of tuberculosis was reported in 10.1% of cases. Among previously treated patients, the viral suppression rate was 89.6%; 77.3% of newly HIV diagnosed cases were diagnosed late (with lymphocyte CD4 count <350 cells/µL or AIDS). The A6 variant was observed in 89.0% of sequences. Transmitted mutations in the reverse transcriptase were found in 15.4% treatment-naive cases. Two patients with treatment failure exhibited multiclass drug resistance. CONCLUSIONS: Migration from Ukraine influences the characteristics of HIV epidemics in Europe, with an increase in the proportion of women and hepatitis C coinfected patients. Antiretroviral treatment efficacy among previously treated refugees was high, with new HIV cases frequently diagnosed late. The A6 subtype was the most common variant.

Non-HIV-related comorbidities and uncontrolled HIV replication are independent factors increasing the odds of hospitalization due to COVID-19 among HIV-positive patients in Poland.

PURPOSE: Immunocompromised patients are postulated to be at elevated risk of unfavorable outcomes of COVID-19. The exact effect of HIV infection on the course of COVID-19 remains to be elucidated. The aim of the study was to describe the epidemiological and clinical aspects of SARS-CoV-2 infection in HIV-infected individuals. METHODS: The HIV-positive patients who were diagnosed with SARS-CoV-2 infection were identified through thirteen specialist HIV clinics routinely following them due to HIV treatment. The data were collected between November 2020 and May 2021 through an on-line electronical case report form (SurveyMonkey®). The collected information included demographics, lifestyle, comorbidities, HIV care history, COVID-19 clinical course and treatment. Logistic regression models were used to identify factors associated with the odds of death or hospitalization due to COVID-19. RESULTS: One hundred and seventy-three patients with HIV-SARS-CoV-2 coinfection were included in the analysis. One hundred and sixty-one (93.1%) subjects had a symptomatic course of the disease. Thirty-nine (23.1%) of them were hospitalized, 23 (13.3%) necessitated oxygen therapy. Three (1.8%) patients required admission to the intensive care unit and 6 (3.5%) patients died. The presence of comorbidities and an HIV viral load of more than 50 copies/mL were linked to the increased odds of hospitalization (OR 3.24 [95% CI 1.27-8.28]) and OR 5.12 [95% CI 1.35-19.6], respectively). CONCLUSIONS: As depicted by our analyses, HIV-positive patients with comorbidities and/or uncontrolled HIV replication who are diagnosed with SARS-CoV-2 infection should be considered of high risk of poor COVID-19 outcome and followed up carefully.

Delayed HIV diagnosis during the COVID-19 pandemic in Poland: A call for targeted HIV testing for those under suspicion of SARS-CoV-2.

OBJECTIVES: The aim of this study was to analyse patients newly diagnosed with HIV who were originally admitted to hospitals with suspicion of COVID-19. METHODS: This was a retrospective case series undertaken at four sites. Only adults with new HIV diagnosis and COVID-19 exclusion hospitalized in 2020-2021 were included. Demographic, clinical and laboratory data were collected from medical records. RESULTS: Twenty-five patients were included in the analysis: 19 men (76%), 11 of Ukrainian origin (44%). The median age was 38.5 years (range 25-59). The mode of HIV transmission was heterosexual for 11 (44%) patients, eight (32%) were men who have sex with men and three (12%) were people who inject drugs. The median duration of symptoms prior to hospital presentation was 20.6 days (range 3-90). The median number of SARS-CoV-2 tests per patient was 2.62 (range 1-7). All SARS-CoV-2 tests were negative. Screening for HIV was performed on average on the 18th day of hospitalization (range 1-36 days). Twenty-three patients (92%) were late presenters, 22 (88%) had advanced disease, and 19 (76%) were in the AIDS stage. The median CD4 T-cell count was 72 cells/µL (range 3-382). The rate of positive HIV testing at the two sites where it was available for people with suspected COVID-19 was 0.13% (7/5458 during the study period). CONCLUSIONS: We strongly recommend introducing the HIV screening test in the diagnostic algorithm for every patient suspected of having COVID-19, presenting with clinical and/or radiological pulmonary symptoms.

Brain Fog and Quality of Life at Work in Non-Hospitalized Patients after COVID-19.

Background: There is still a need for studies on the quality of life (QoL) at work among COVID-19 survivors. Therefore, we aimed to evaluate the association between the brain fog symptoms and the QoL at work in non-hospitalized patients with previous SARS-CoV-2 infection. Methods: Three hundred non-hospitalized patients (79.33% women; median age, 36 years; interquartile range, 30-48 years) were included in the final analysis. An anonymous neuropsychological questionnaire containing eight different questions on the presence of brain fog symptoms in four time intervals, i.e., pre-COVID-19 and 0-4, 4-12, and >12 weeks after infection, was retrospectively introduced to patients and staff of the University Hospital in Krakow. Additionally, a four-point Likert scale was used to evaluate QoL at work in four time periods. Included were participants aged ≥ 18 years in whom the diagnosis of COVID-19 was confirmed by the RT-PCR from nasopharyngeal swab and the first symptoms occurred no earlier than 3 months before the completion of the questionnaire. Results: Before SARS-CoV-2 infection, 28.00% (n = 84) of patients reported poor QoL at work. Within 4, 4-12, and >12 weeks after infection, a decrease in QoL was observed in 75.67% (n = 227), 65.00% (n = 195), and 53.66% (n = 161) of patients, respectively (p < 0.001). With increasing deterioration of the QoL at work, the number of brain fog symptoms increased, and patients with severe QoL impairment exhibited a median of five symptoms for <4, 4-12, and >12 weeks post-COVID-19. In the multivariable logistic regression model, predictors of the deterioration of the QoL at work depended on the time from COVID-19 onset; in the acute phase of the disease (<4 weeks), it was predicted by impairment in remembering information from the past (OR 1.88, 95%CI: 1.18-3.00, p = 0.008) and multitasking (OR 1.96, 95%CI: 1.48-2.58, p < 0.001). Furthermore, an impairment in the QoL at work 4-12 weeks and >12 weeks after COVID-19 was independently associated with age (OR 0.46, 95%CI: 0.25-0.85, p = 0.014 and OR 1.03, 95%CI: 1.01-1.05, p = 0.025, respectively), problems with multitasking (OR 2.05, 95%CI: 1.40-3.01, p < 0.001 and OR 1.75, 95%CI: 1.15-2.66, p = 0.009, respectively), answering questions in an understandable/unambiguous manner (OR 1.99, 95%CI: 1.27-3.14, p = 0.003 and OR 2.00, 95%CI: 1.47-2.36, p = 0.001, respectively), and, only for the >12 week interval, problems with remembering information from the past (OR 2.21, 95%CI: 1.24-3.92, p = 0.007). Conclusions: Certain brain fog symptoms, such as impaired memory or multitasking, are predictors of a poorer QoL at work not only during the acute phase of COVID-19 but also within more than 12 weeks after the onset of infection.

Chemerin as a Potential Marker of Resolution of Inflammation in COVID-19 Infection.

Chemerin is one of the specialized pro-resolving mediators that participate in the early phase of inflammation and contribute to the initiation of the pro-resolving response. There is a paucity of data regarding the time course of chemerin during acute infections. We aimed to evaluate the sequence of inflammatory responses in the acute COVID-19 phase throughout onset and resolution of inflammation. We evaluated changes in selected biomarkers in COVID-19 survivors on the 7-day and 28-day follow up. Chemerin was lower in patients with baseline moderate/severe disease at day 7 compared with asymptomatic patients and individuals with mild illness (7265 [5526−9448] vs. 8730 [6888−11,058] pg/mL; p = 0.03). Only in patients with moderate/severe disease, but not in those with mild symptoms, were chemerin concentrations decreased one week after infection onset compared with baseline (7265 [5526−9448] vs. 8866 [6383−10,690] pg/mL; p < 0.05) with a subsequent increase on the 28-day follow up (9313 [7353−11,033] pg/mL; p < 0.05). Resolution of inflammation in the group of moderate/severe SARS-CoV2 infection was associated with increasing serum concentrations of chemerin, contrary to pro-inflammatory cytokines and adipokines (pentraxin 3, TNFα, resistin, leptin). A similar pattern of angiopoietin-2 dynamics may suggest signs of enhanced vascularization as a consequence of acute SARS-CoV2 infection.

Preliminary report on the provision of HIV care to war refugees with HIV who are migrating from Ukraine: data from the ECEE Network Group.

The ECEE Network Group investigated early provision of HIV care to war refugees migrating from Ukraine in Central and Eastern Europe (CEE) through an online survey. Fourteen countries admitting war refugees from Ukraine on March 31, 2022, completed the survey. Most centers (86%) organized provision of same day antiretroviral therapy (ART) for at least 30 days (77%), but indicated that it may affect the local HIV care. CEE countries put effective emergency mechanisms, which need continuation with international support.

Comparison between COVID­19 outcomes in the first 3 waves of the pandemic: a reference hospital report.

INTRODUCTION: The course of consecutive COVID­19 waves was influenced by medical and organizational factors. OBJECTIVES: We aimed to assess the outcomes of patients hospitalized for COVID­19 during the first 3 waves of the pandemic. PATIENTS AND METHODS: We performed a retrospective analysis of medical records of all COVID­19 patients admitted to the University Hospital in Kraków, Poland, a designated COVID­19 hospital in Malopolska province, between March 1, 2020 and May 31, 2021. The waves were defined as 1, 2, and 3, and covered the periods of March 2020 to July 2020, August 2020 to January 2021, and February 2021 to May 2021, respectively. Patients' characteristics and outcomes for waves 1 through 3 were compared. RESULTS: Data analyses included 5191 patients with COVID­19. We found differences in age (mean [SD], 60.2 [17.3] years vs 62.4 [16.8] years vs 61.9 [16.1] years, respectively, for waves 1, 2, and 3; P = 0.003), sex distribution (proportion of women, 51.4% vs 44.2% vs 43.6%; P = 0.003), as well as concentrations of inflammatory markers and oxygen saturation (the lowest and the highest for wave 1, respectively; P <0.001). Hospital death rates in subsequent waves were 10.4%, 19.8%, and 20.3% (P <0.001). Despite similarities in patients' characteristics, the length of hospital and intensive care unit stay was shorter for wave 3 than for wave 2. The risk factors for in­hospital death were: advanced age, male sex, cardiovascular or chronic kidney disease, higher C­reactive protein level, and hospitalization during the second or third wave. CONCLUSIONS: We identified differences in patients' clinical characteristics and outcomes between consecutive pandemic waves, which probably reflect changes in terms of COVID­19 isolation policy, hospitalization and treatment indications, and treatment strategies.

Cardiac biomarkers on admission and in­hospital mortality in COVID-19 patients with or without concomitant heart failure.

INTRODUCTION: High­sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro-B type natriuretic peptide (NT­ proBNP) are known markers of cardiac injury. However, their role in predicting the severity of COVID­19 remains to be investigated. OBJECTIVES: We aimed to analyze the association between hs­cTnT and NT-proBNP levels and in hospital mortality in patients with COVID­19, with emphasis on those with concomitant chronic heart failure (CHF). PATIENTS AND METHODS: A total of 1729 consecutive patients with COVID­19 were enrolled. Demographic data, laboratory parameters, and clinical outcomes (discharge or death) were analyzed. Receiver operating characteristic (ROC) and logistic regression analyses were performed to evaluate the association between hs­cTnT and NT-proBNP values and the risk of death. RESULTS: Evaluation of hs­cTnT was performed in 1041 patients, while NT-proBNP was assessed in 715 individuals. CHF was present in 179 cases (10.4% of the cohort). Median values of hs­cTnT and NT-proBNP and in­hospital mortality were higher in CHF patients than in those without CHF. Among patients without CHF, mortality was the highest in those with hs­cTnT or NT-proBNP values in the fourth quartile. In ROC analysis, hs­cTnT equal to or above 142 ng/l and NT-proBNP equal to or above 969 pg/ml predicted in­hospital death. In patients without CHF, each 10-ng/l increase in hs-cTnT or 100-pg/ml increase in NT­proBNP was associated with a higher risk of death (odds ratio [OR], 1.01 and OR, 1.02, respectively; P <0.01 for both). CONCLUSION: The level of hs­cTnT or NT-proBNP predicts in hospital mortality in COVID-19 patients. Both hs­cTnT and NT-proBNP should be routinely measured on admission in all patients hospitalized due to COVID­19 for early detection of individuals with an increased risk of in hospital death, even if they do not have concomitant heart failure.

Does Hospitalization Change the Perception of COVID-19 Vaccines among Unvaccinated Patients?

The COVID-19 vaccination has been the subject of unprecedented misinformation, false news, and public concerns. This study presents a unique analysis comprising persons who were not vaccinated and became ill. It investigates reasons for not vaccinating and evaluates how the personal experience of COVID-19 affected further attitudes and decisions related to health. The study included 730 consecutive unvaccinated patients hospitalized in 12 centers in Poland during the autumn 2021 pandemic wave. The most frequent reason behind the refusal to receive the vaccine was concern over the adverse effects, disbelief that the vaccine was sufficiently tested, and one's conviction that COVID-19 will not affect a patient. Online information, friends, spouse, children/grandchildren, and other family members were most often the source of discouragement from vaccination. Most individuals regretted their decision not to receive a vaccine (66.0%), declared to promote COVID-19 vaccination after discharge (64.0%), and to receive a COVID-19 vaccine in the time recommended for convalescents (69.5%). Individuals expressing no regrets of vaccine refusal more frequently revealed conspiracy beliefs. The study shows that personal experience with severe COVID-19 can influence the perception of vaccination, but approximately one-third of unvaccinated hospitalized patients still appear to express vaccine hesitancy.

Enhancing well-being and alleviating depressive symptoms in people with HIV/AIDS: An intervention based on if-then plans with self-affirming cognitions.

Effective antiretroviral treatment has increased the life expectancy of people living with HIV, and currently, the challenges of prominent importance appear to be mental health issues. This preregistered study among adults living with HIV/AIDS investigated the effectiveness of a brief self-affirmation intervention framed in terms of if-then plans (i.e. self-affirming implementation intentions [S-AII]) against both active and non-active control conditions, forming non-affirming implementation intentions and mere goal intentions, respectively. The primary outcomes were defined as a reduction of depressive symptoms and enhancement of well-being, along with secondary outcomes as positive other- and self-directed feelings. A total of 162 individuals were assessed for eligibility, and 130 (aged 18-74 years) were randomized to the study conditions. Intervention effects were estimated through intention-to-treat analysis, using linear mixed models. The S-AII intervention yielded improvements in overall well-being over 2 weeks (d = .23), primarily driven by positive changes in emotional (d = .24) and social (d = .30) dimensions of well-being. There were no significant differences in depression or secondary outcomes. Based on a minimal clinically important difference index, the S-AII intervention resulted in improvement in well-being in approximately 40 percent of participants. Nevertheless, further systematic research is needed to optimize self-affirmation-interventions, before their application in real-life contexts.

Recent perspectives on the link between migration, human rights and HIV among women.

There is a well-documented link between infectious diseases, especially HIV, armed conflict, lack of respect for human rights and migration. War leads to disruption of services, increased vulnerability to violence and social hardships that put individuals and especially women at risk of infections such as HIV. HIV in Europe is highly associated with migration, with over 40% of new infections being diagnosed among migrants. Our aim was to provide an overview of the factors that put migrant populations, and especially migrant women, at risk for HIV infection and to illustrate this from three different perspectives: 1) recent migration from the Ukraine, and Polish experiences in provision of HIV care to Ukrainian migrants; 2) successful HIV programs targeting African migrant women in the United Kingdom (UK); 3) the impact of the prolonged crisis and women's rights violations during the internal Afghanistan conflict. We conclude that although they may be dramatically different, situations having detrimental health effects in women often share common underlying causes, and therefore may potentially be addressed by applying universal principles that emphasise the importance of self-management of health needs, empowerment of vulnerable communities and building community strengths. As crisis situations are often unpredictable, and shortage of resources common, empowerment of communities and creation of systematic policies that proactively address women's specific needs is crucial to ensuring that vulnerable populations are able to thrive in their new environment, thereby becoming contributors to, rather than being seen as burdens to society. This can only be achieved by continuous dialogue between women's communities, health care providers, policy makers and other stakeholders involved in the care of women.

Anti-inflammatory adipokines: chemerin, vaspin, omentin concentrations and SARS-CoV-2 outcomes.

Coronavirus disease 2019 (COVID-19) is associated with systemic inflammation. A wide range of adipokines activities suggests they influence pathogenesis and infection course. The aim was to assess concentrations of chemerin, omentin, and vaspin among COVID-19 patients with an emphasis on adipokines relationship with COVID-19 severity, concomitant metabolic abnormalities and liver dysfunction. Serum chemerin, omentin and vaspin concentrations were measured in serum collected from 70 COVID-19 patients at the moment of admission to hospital, before any treatment was applied and 20 healthy controls. Serum chemerin and omentin concentrations were significantly decreased in COVID-19 patients compared to healthy volunteers (271.0 vs. 373.0 ng/ml; p < 0.001 and 482.1 vs. 814.3 ng/ml; p = 0.01, respectively). There were no correlations of analyzed adipokines with COVID-19 severity based on the presence of pneumonia, dyspnea, or necessity of Intensive Care Unit hospitalization (ICU). Liver test abnormalities did not influence adipokines levels. Elevated GGT activity was associated with ICU admission, presence of pneumonia and elevated concentrations of CRP, ferritin and interleukin 6. Chemerin and omentin depletion in COVID-19 patients suggests that this adipokines deficiency play influential role in disease pathogenesis. However, there was no relationship between lower adipokines level and frequency of COVID-19 symptoms as well as disease severity. The only predictive factor which could predispose to a more severe COVID-19 course, including the presence of pneumonia and ICU hospitalization, was GGT activity.

Effect of COVID-19 on Anti-S Antibody Response in Healthcare Workers Six Months Post-Vaccination.

The current study aimed to determine to what extent prior COVID-19 infection affects the response of specific antibodies following vaccination. The study involved 173 healthcare professionals who completed the two-dose vaccination course with BNT162b2, including 40 who previously experienced clinical COVID-19. The levels of anti-SARS-CoV-2 S1S2 IgG (anti-S) and, in some cases, anti-SARS-CoV-S-RBD IgG (anti-S-RBD) were determined six months after complete vaccination. A level exceeding the cut-off values for both anti-S and anti-S-RBD was observed in 100% of subjects, but after setting the analysis to 5- and 10-fold cut-off levels, the percentage of subjects meeting this criterion was significantly higher for anti-S-RBD. The 100-fold cut-off level was achieved by only 21% and 16% for anti-S and anti-S-RBD, respectively. Anti-S and anti-S-RBD levels above ten times the positive cut-off were respectively observed in 91% and 100% individuals with a history of COVID-19, while among those without COVID-19, these values were 64% and 90%, respectively. Significantly higher incidence of values above 10 and 100 times the cut-off became apparent among people with a history of COVID-19. In conclusion, vaccination against COVID-19 following infection with the disease provides higher levels of specific antibodies 6 months after vaccination than those of individuals without a history of the disease, which supports the use of a booster dose, particularly for those who have not experienced SARS-CoV-2 infection.