Relationship of Non-Invasive Arterial Stiffness Parameters with 10-Year Atherosclerotic Cardiovascular Disease Risk Score in Post-COVID-19 Patients-The Results of a Cross-Sectional Study.

This study evaluated the relationship of non-invasive arterial stiffness parameters with an individual 10-year risk of fatal and non-fatal atherosclerotic cardiovascular disease (ASCVD) events in the cohort post-coronavirus disease 2019 (COVID-19). The study group included 203 convalescents aged 60.0 (55.0-63.0) and 115 (56.7%) women. The ASCVD risk was assessed as low to moderate to very high based on medical history (for 62 participants with pre-existing ASCVD/diabetes/chronic kidney disease in the entire cohort) or calculated in percentages using the Systemic Coronary Risk Evaluation 2 (SCORE2) algorithm based on age, sex, smoking status, systolic blood pressure (BP), and non-high-density lipoprotein cholesterol (for 141 healthy participants). The stiffness index (SI) and reflection index (RI) measured by photoplethysmography, as well as pulse pressure (PP), calculated as the difference between systolic and diastolic BP, were markers of arterial stiffness. Stiffness parameters increased significantly with the increase in ASCVD risk in the entire cohort. In 30 (14.8%) patients in the low- to moderate-risk group, the median SI was 8.07 m/s (7.10-8.73), RI 51.40% (39.40-65.60), and PP 45.50 mmHg (40.00-57.00); in 111 (54.7%) patients in the high-risk group, the median SI was 8.70 m/s (7.40-10.03), RI 57.20% (43.65-68.40), and PP 54.00 mmHg (46.00-60.75); and in 62 (30.5%) patients in the very-high-risk group, the median was SI 9.27 m/s (7.57-10.44), RI 59.00% (50.40-72.40), and PP 60.00 mmHg (51.00-67.00). In healthy participants, the SI ≤ 9.0 m/s (sensitivity of 92.31%, area under the curve [AUC] 0.686, p < 0.001) based on the receiver operating characteristics was the most sensitive variable for discriminating low to moderate risk, and PP > 56.0 mmHg (sensitivity of 74.36%, AUC 0.736, p < 0.001) was used for discriminating very high risk. In multivariate logistic regression, younger age, female sex, PP ≤ 50 mmHg, SI ≤ 9.0 m/s, and triglycerides < 150 mg/dL had the best relationship with low to moderate SCORE2 risk. In turn, older age, currently smoking, PP > 56.0 mmHg, RI > 68.6%, and diastolic BP ≥ 90 mmHg were related to very high SCORE2 risk. In conclusion, arterial stiffness is significantly related to ASCVD risk in post-COVID-19 patients and can be helpful as a single risk marker in everyday practice. Cut-off points for arterial stiffness parameters determined based on SCORE2 may help make individual decisions about implementing lifestyle changes or pharmacological treatment of ASCVD risk factors.

Stochastic delayed analysis of coronavirus model through efficient computational method.

Stochastic delayed modeling has a significant non-pharmaceutical intervention to control transmission dynamics of infectious diseases and its results are close to the reality of nature. The covid-19 has been controlled globally but there is still a threat and appears in different variants like omicron and SARS-CoV-2 etc. globally. This article, considered pattern a mathematical model based on Susceptible, Infected, and recovered populations with highly nonlinear incidence rates. we studied the dynamics of the coronavirus model; a newly proposed version is a stochastic delayed model that is based on nonlinear stochastic delayed differential equations (SDDEs). Transition probabilities and parametric perturbation methods were used for the construction of the stochastic delayed model. The fundamental properties like positivity, boundedness, existence and uniqueness, and stability results of equilibria of the model with certain conditions of reproduction number are studied regularly. Also, the extinction and persistence of disease are studied with the help of well-known theorems. The numerical methods used to find a visualization of results due to the complexity of stochastic delayed differential equations. Furthermore, for computational analysis, we implemented existing methods in the literature and compared their results with the proposed method like nonstandard finite difference for stochastic delayed model. The proposed method restores all dynamical properties of the model with a free choice of time steps.

Immune signature in vaccinated versus non-vaccinated aged people with COVID-19 pneumonia.

BACKGROUND: A definition of the immunological features of COVID-19 pneumonia is needed to support clinical management of aged patients. In this study, we characterized the humoral and cellular immune responses in presence or absence of SARS-CoV-2 vaccination, in aged patients admitted to the IRCCS San Raffaele Hospital (Italy) for COVID-19 pneumonia between November 2021 and March 2022. METHODS: The study was approved by local authorities. Disease severity was evaluated according to WHO guidelines. We tested: (A) anti-SARS-CoV-2 humoral response (anti-RBD-S IgG, anti-S IgM, anti-N IgG, neutralizing activity against Delta, BA1, BA4/5 variants); (B) Lymphocyte B, CD4 and CD8 T-cell phenotype; (C) plasma cytokines. The impact of vaccine administration and different variants on the immunological responses was evaluated using standard linear regression models and Tobit models for censored outcomes adjusted for age, vaccine doses and gender. RESULT: We studied 47 aged patients (median age 78.41), 22 (47%) female, 33 (70%) older than 70 years (elderly). At hospital admission, 36% were unvaccinated (VACno), whilst 63% had received 2 (VAC2) or 3 doses (VAC3) of vaccine. During hospitalization, WHO score > 5 was higher in unvaccinated (14% in VAC3 vs. 43% in VAC2 and 44% VACno). Independently from vaccination doses and gender, elderly had overall reduced anti-SARS-CoV-2 humoral response (IgG-RBD-S, p = 0.0075). By linear regression, the anti-RBD-S (p = 0.0060), B (p = 0.0079), CD8 (p = 0.0043) and Th2 cell counts (p = 0.0131) were higher in VAC2 + 3 compared to VACno. Delta variant was the most representative in VAC2 (n = 13/18, 72%), detected in 41% of VACno, whereas undetected in VAC3, and anti-RBD-S production was higher in VAC2 vs. VACno (p = 0.0001), alongside neutralization against Delta (p = 0141), BA1 (p = 0.0255), BA4/5 (p = 0.0162). Infections with Delta also drove an increase of pro-inflammatory cytokines (IFN-α, p = 0.0463; IL-6, p = 0.0010). CONCLUSIONS: Administration of 3 vaccination doses reduces the severe symptomatology in aged and elderly. Vaccination showed a strong association with anti-SARS-CoV-2 humoral response and an expansion of Th2 T-cells populations, independently of age. Delta variants and number of vaccine doses affected the magnitude of the humoral response against the original SARS-CoV-2 and emerging variants. A systematic surveillance of the emerging variants is paramount to define future vaccination strategies.

Modelling on COVID-19 control with double and booster-dose vaccination.

COVID-19 vaccines have been illustrated to lessen the growth of sickness caused by the virus effectively. In any case, inoculation has consistently been controversial, with differing opinions and viewpoints. This has compelled some individuals to decide against receiving the vaccine. These divergent viewpoints have had a trivial impact on the epidemic's dynamics and the disease's development. In response to vaccinated individuals still falling ill, many countries have implemented booster vaccines to protect further. In this specific investigation, a mathematical model composed of seven compartments is employed to examine the effectiveness of a booster dose in preventing and treating the transmission of COVID-19. The principles of mathematics are employed to analyse and investigate the dynamics of the disease. Using a qualitative prototype analysis, we acquired valuable insights into its effectiveness. One essential aspect is the basic reproduction number, a critical determinant of the disease's spread. This calculation is determined by studying the system's equilibrium and evaluating its stability. Furthermore, we examined the balance from a local and global viewpoint, considering the possibility of bifurcation and the model's reproductive number sensitivity index. Through numerical simulations, we have visually illustrated the analytical findings outlined in this research paper and presented a thorough examination of the efficacy of booster shots as a preventive and therapeutic measure in the spread dynamics of COVID-19.

Specific long-term changes in anti-SARS-CoV-2 IgG modifications and antibody functions in mRNA, adenovector, and protein subunit vaccines.

Various vaccine platforms were developed and deployed against the COVID-19 disease. The Fc-mediated functions of IgG antibodies are essential in the adaptive immune response elicited by vaccines. However, the long-term changes of protein subunit vaccines and their combinations with messenger RNA (mRNA) vaccines are unknown. A total of 272 serum and plasma samples were collected from individuals who received first to third doses of the protein subunit Medigen, the mRNA (BNT, Moderna), or the adenovector AstraZeneca vaccines. The IgG subclass level was measured using enzyme-linked immunosorbent assay, and Fc-N glycosylation was measured using liquid chromatography coupled to tandem mass spectrometry. Antibody-dependent-cellular-phagocytosis (ADCP) and complement deposition (ADCD) of anti-spike (S) IgG antibodies were measured by flow cytometry. IgG1 and 3 reached the highest anti-S IgG subclass level. IgG1, 2, and 4 subclass levels significantly increased in mRNA- and Medigen-vaccinated individuals. Fc-glycosylation was stable, except in female BNT vaccinees, who showed increased bisection and decreased galactosylation. Female BNT vaccinees had a higher anti-S IgG titer than that of males. ADCP declined in all groups. ADCD was significantly lower in AstraZeneca-vaccinated individuals. Each vaccine produced specific long-term changes in Fc structure and function. This finding is critical when selecting a vaccine platform or combination to achieve the desired immune response.

Predictive value of D-Dimer and thromboplastin time as coagulation indicators for COVID-19 patients.

INTRODUCTION: Coronavirus 2019 symptoms include coagulopathy and thromboembolic risk. Using one parameter to diagnose coagulopathy has little predictive value. OBJECTIVE: This study will examine if D-dimer and APTT testing can predict COVID-19 severity and aid triage and manage patients. METHODS: 214 COVID-19 patients were enrolled and classified into two categories based on their respiratory manifestations; mild (126 cases) and severe (88 cases). Patient data regarding age, gender, D-Dimer level, and APTT level were collected. When both D-Dimer and APTT levels were abnormal, in this study, the patient was considered to have a coagulation disorder. Indicators of coagulation in the COVID-19 patients were collected and compared between the two groups. Chi-square (χ2) tests were used to determine the significant differences between coagulation disorders in the two groups. RESULTS: Our findings showed that patients with coagulopathies were more likely to belong to the severe group. Within the two groups of patients, the rate of coagulation disorders was as follows: mild = 8.8 % within coagulation disorders, 4.8% within the two Groups; severe = 91.2 % within coagulation disorders, 77.8 % within the two Groups. There was a statistically significant relationship between coagulation disorder and severe COVID-19 patients compared to mild patients (p < 0.05). CONCLUSIONS: Coagulation disorders are more likely to occur in severe COVID-19 patients. D-Dimer and APTT tests are significant indicators for predicting COVID-19 severity. Our research found an abnormal pattern of coagulation disorders and COVID-19 severity that should be considered in the COVID-19 treatment protocol.

Addressing Challenges in Standardizing Helicobacter pylori Treatment Protocols: Importance and Review.

Helicobacter pylori, one of the top carcinogens, is associated with most cases of gastric cancer-related deaths worldwide. Over the past two decades, the rising rates of antibiotic resistance in the bacterium have reduced the efficacy of conventional antibiotic-based treatments. This underscores the urgency for continued research and novel treatment approaches. Establishing a worldwide accepted physician guideline for antibiotic prescription is crucial to combat antibiotic resistance and improve H. pylori infection management. Therefore, it is important to address the challenges that complicate the establishment of a universally accepted treatment protocol to prescribe an antibiotic regimen to eradicate H. pylori. The answers to the questions of why conventional standard triple therapy remains a first-line treatment choice despite its low efficacy, and how different factors affect therapy choice, are needed to identify these challenges. Hence, this review addresses concerns related to H. pylori treatment choice, role of antibiotic resistance and patient compliance in treatment outcomes, first-line vs. second-line therapy options, and methods for enhancing existing treatment methods. We also present a chart to aid antibiotic treatment prescription, which may support physician guidelines in this aspect. Eradication of H. pylori and patient adherence is paramount in overcoming antibiotic resistance in the bacterium, and our chart summarizes key considerations and suggests novel approaches to achieve this goal.

Cardioprotective effects of vaccination in hospitalized patients with COVID-19.

COVID-19 vaccination has been shown to prevent and reduce the severity of COVID-19 disease. The aim of this study was to explore the cardioprotective effect of COVID-19 vaccination in hospitalized COVID-19 patients. In this retrospective, single-center cohort study, we included hospitalized COVID-19 patients with confirmed vaccination status from July 2021 to February 2022. We assessed outcomes such as acute cardiac events and cardiac biomarker levels through clinical and laboratory data. Our analysis covered 167 patients (69% male, mean age 58 years, 42% being fully vaccinated). After adjustment for confounders, vaccinated hospitalized COVID-19 patients displayed a reduced relative risk for acute cardiac events (RR: 0.33, 95% CI [0.07; 0.75]) and showed diminished troponin T levels (Cohen's d: - 0.52, 95% CI [- 1.01; - 0.14]), compared to their non-vaccinated peers. Type 2 diabetes (OR: 2.99, 95% CI [1.22; 7.35]) and existing cardiac diseases (OR: 4.31, 95% CI [1.83; 10.74]) were identified as significant risk factors for the emergence of acute cardiac events. Our findings suggest that COVID-19 vaccination may confer both direct and indirect cardioprotective effects in hospitalized COVID-19 patients.

COVID-19 Vaccine Acceptance of Pregnant Women in Thailand.

Objective: This study investigated the COVID-19 vaccine acceptance rate among pregnant women in Thailand and explored factors influencing their willingness to receive the vaccine, to enhance vaccine uptake among hesitant pregnant women in the future. Methods: A prospective study was conducted at Maharaj Nakorn Chiang Mai Hospital, Chiang Mai, Thailand, in October 2022. The data was collected using face-to-face questionnaires comprising 29 closed-end questions. Pregnant women aged 18 years old or over visiting the antenatal care clinic were included. Results: The study included 200 participants, revealing a COVID-19 vaccine acceptance rate of 17%. Healthcare provider recommendations significantly increased vaccine acceptance by nearly two-fold (30.77%, p-value < 0.01). The major cause of vaccine hesitancy was the concern about vaccine safety that potentially harmed their babies (77.44%). Conclusion: The COVID-19 vaccine acceptance rate among pregnant women in Thailand was low. Healthcare provider recommendations played a pivotal role in positively impacting vaccine acceptance, highlighting their importance in increasing acceptance rates in the future.

This study investigated the COVID-19 vaccine acceptance rate among pregnant women in Thailand and explored factors influencing their willingness to receive the vaccine. The study included 200 participants, revealing a COVID-19 vaccine acceptance rate of 17%. Healthcare provider recommendations significantly increased vaccine acceptance by nearly two-fold (30.77%, p-value < 0.01). The major cause of vaccine hesitancy was the concern about vaccine safety that potentially harming their babies (77.44%). The COVID-19 vaccine acceptance rate among pregnant women in Thailand was low. Healthcare provider recommendations played a pivotal role in positively impacting vaccine acceptance, highlighting their importance in increasing acceptance rates in the future.

Long COVID among US adults from a population-based study: Association with vaccination, cigarette smoking, and the modifying effect of chronic obstructive pulmonary disease (COPD).

OBJECTIVE: Post-COVID Conditions (or Long COVID) have been widely reported, but population-based studies exploring the relationship between its risk factors are lacking. We examined the associations between Long COVID, chronic obstructive pulmonary disease [COPD], vaccination status, and cigarette smoking. We also tested for the modifying effect of COPD status. METHODS: Data from the 2022 US nationwide Behavioral Risk Factor Surveillance System (BRFSS) were analyzed. Our primary outcome was Long COVID (Yes/No) after a positive COVID-19 diagnosis. Predictor variables were COPD, coronary heart disease (CHD), diabetes, asthma, body mass index, cigarette smoking status, and number of COVID-19 vaccinations (0-4). Weighted multivariable logistic regression models were used and adjusted for sociodemographic factors. Regression models were used to explore the modifying effects of COPD status. RESULTS: The weighted prevalence of Long COVID among survivors (N = 121,379) was 21.8% (95%CI: 21.4, 22.3), with tiredness/fatigue (26.2% [95%:25.1, 27.2]) as the most common symptom. Respondents with COPD (aOR: 1.71 [95%CI: 1.45, 2.02]), current daily smokers (aOR: 1.23 [95%CI:1.01, 1.49]), and former smokers (aOR: 1.24 [95%CI:1.12, 1.38]) (vs. never established smokers) had higher odds of Long COVID. However, respondents who had received three (aOR: 0.75 [95%CI:0.65, 0.85]) and four (aOR: 0.71 [95%CI:0.58, 0.86]) vaccine doses (vs. no vaccine) had lower odds of Long COVID. COPD had a modifying effect on the relationship between cigarette smoking and Long COVID (p-value: 0.013). CONCLUSION: Our findings underscore a complex interaction between COPD, cigarette smoking, and Long COVID. Further, COVID-19 vaccination may be protective against Long COVID.

Appearance and Prevalence of JN.1 SARS-CoV-2 Variant in India and Its Clinical Profile in the State of Maharashtra.

BACKGROUND: In August 2023, the BA.2.86 SARS-CoV-2 variant, with over 30 spike protein mutations, emerged amidst the global dominance of XBB sub-lineages. It evolved into JN.1 by late 2023, spreading across 71 countries. JN.1, distinct for its L455S mutation, significantly dominated global sequences, raising concerns over its transmission and clinical impact. The study investigates JN.1's clinical severity and its effect on hospital admissions in Maharashtra, India. METHODOLOGY: The present study involved 3,150 curated Indian SARS-CoV-2 whole genome sequences with collection dates between 1st August 2023 and 15th January 2024. Lineage and phylogenetic analysis of sequences was performed using Nextclade. Telephonic interviews were conducted to confirm the demographic details and obtain clinical information on the JN.1* (* indicates JN.1 and all its sub-lineages) cases. The obtained data were recorded and analyzed using Microsoft® Excel (Microsoft Corporation, Redmond, WA). RESULTS: Out of 3,150 sequences analyzed, JN.1* was the most common lineage (2377/3150, 75.46%), followed by XBB.2.3* (281/3150, 8.92%) and XBB.1.16* (187/3150, 5.94%). In India, it was first identified on 6th October 2023, in Kerala. The highest proportion of JN.1* sequences originated from Maharashtra (628/2377, 26.42%), followed by West Bengal (320/2377, 13.46%), Andhra Pradesh (293/2377, 12.33%), Kerala (288/2377, 12.12%), and Karnataka (285/2377, 11.99%). In Maharashtra, the JN.1* variant was first identified on 23rd November 2023. A total of 279 JN.1* cases were included in the clinical study. Of these, 95.34% (266/279) had symptomatic disease with mild symptoms; cold (187/279, 67.03%) being the most common symptom, followed by fever (156/279, 55.91%), cough (114/279, 40.86%), and headache (28/279, 15.64%). Of all the cases, 13.26% (37/279) required institutional quarantine or hospitalization, and the rest were isolated at home. Among the hospitalized patients, 54.05% (20/37) cases were given conservative treatment while 45.95% (17/37) cases required supplemental oxygen therapy. Regarding the vaccination status, 94.26% (263/279) of cases received at least one dose of the COVID-19 vaccine, while 5.02% (14/279) were not vaccinated, of which most were children aged zero to nine years (5/14, 35.71%). The overall recovery rate among JN.1* cases was 98.57% (275/279), with 1.43% (4/279) cases succumbing to the disease. CONCLUSION: The JN.1* variant, the dominant variant in India, exhibits clinical features similar to previous circulating variants in Maharashtra without increased severity. Its notable transmissibility underscores the importance of studying the ongoing viral evolution. The pressing necessity for swift identification and the clinical features of new variants is essential for effective public health response.

Specific long-term changes in anti-SARS-CoV-2 IgG modifications and antibody functions in mRNA, adenovector, and protein subunit vaccines.

Various vaccine platforms were developed and deployed against the COVID-19 disease. The Fc-mediated functions of IgG antibodies are essential in the adaptive immune response elicited by vaccines. However, the long-term changes of protein subunit vaccines and their combinations with mRNA vaccines are unknown. A total of 272 serum and plasma samples were collected from individuals who received first to third doses of the protein subunit Medigen, the mRNA (BNT), or the adenovector AstraZeneca vaccines. The IgG subclass level was measured using enzyme-linked immunosorbent assay, and Fc-N glycosylation was measured using LC-MS/MS. Antibody-dependent phagocytosis (ADCP) and complement deposition (ADCD) of anti-spike (S) IgG antibodies were measured. IgG1 and 3 reached the highest anti-S IgG subclass level. IgG1, 2, and 4 subclass levels significantly increased in mRNA- and Medigen-vaccinated individuals. Fc-glycosylation was stable, except in female BNT vaccinees, who showed increased bisection and decreased galactosylation. Female BNT vaccinees had a higher anti-S IgG titer than that of males. ADCP declined in all groups. ADCD increased in Medigen-vaccinated individuals after the third dose. Each vaccine produced specific long-term changes in Fc structure and function. This finding is critical when selecting a vaccine platform or combination to achieve the desired immune response.

SARS-CoV-2 membrane protein-specific antibodies from critically ill SARS-CoV-2-infected individuals interact with Fc receptor-expressing cells but do not neutralize the virus.

The membrane (M) glycoprotein of SARS-CoV-2 is one of the key viral proteins regulating virion assembly and morphogenesis. Immunologically, the M protein is a major source of peptide antigens driving T cell responses, and most individuals who have been infected with SARS-CoV-2 make antibodies to the N-terminal, surface-exposed peptide of the M protein. We now report that although the M protein is abundant in the viral particle, antibodies to the surface-exposed N-terminal epitope of M do not appear to neutralize the virus. M protein-specific antibodies do, however, activate antibody-dependent cell-mediated cytotoxicity and cytokine secretion by primary human natural killer cells. Interestingly, while patients with severe or mild disease make comparable levels of M antigen-binding antibodies, M-specific antibodies from the serum of critically ill patients are significantly more potent activators of antibody-dependent cell-mediated cytotoxicity than antibodies found in individuals with mild or asymptomatic infection.

Assessing the Risk of Hypertension in Chronic, Elderly Patients during the COVID-19 Pandemic: A Prospective Study.

BACKGROUND: This study considers care management for older chronic patients during and after the COVID-19 pandemic. AIMS: To identify groups of variables at previous time points as a basis for deriving efficient classification models during and after a pandemic situation and to quantify the effect of each variable within the model to predict levels of worsening risk in diastolic and systolic arterial hypertension (AHT). MATERIAL AND METHODS: In this prospective longitudinal study, data were collected at three time points: before, during, and after the COVID-19 pandemic period. RESULTS: The study included 148 patients with an average age of 81.6 years. During the study period, mean systolic blood pressure among this population rose by 5 mmHg to 128.8 mmHg; the number of patients with systolic blood pressure > 140 mmHg rose by 45.3%; among those with diastolic blood pressure > 90, the number rose by 41.2%; mean triglycerides levels rose to 152.6 mg/dL; cholesterol levels rose to 147 mg/dL; and LDL cholesterol rose to 112.2 mg/dL. Meanwhile, mean levels of HDL cholesterol decreased to 46.5 mg/dL. Binary-response logistic regression models were constructed to identify the most relevant variables for predicting AHT risk during and after the pandemic. The heart rate (OR = 1.79; 95% CI: 1.22-2.72) and body mass index (OR = 1.75; 95% CI: 1.08-2.94) variables were significant at the population level (p < 0.05) for diastolic and systolic AHT in the pandemic period risk models. The body mass index variable was also significant for diastolic AHT in the post-pandemic period risk model (OR = 1.97; 95% CI: 1.32-2.94), whilst the triglycerides variable was significant in the systolic AHT post-pandemic period risk model (OR = 1.49; 95% CI: 1.01-1.86). CONCLUSIONS: Bad control of arterial hypertension in older patients with chronic disease is associated with elevated levels of LDL cholesterol, total cholesterol, systolic blood pressure, heart rate and triglycerides, and lower levels of HDL cholesterol.

Comparison of Different Vascular Biomarkers for Predicting In-Hospital Mortality in Severe SARS-CoV-2 Infection.

Severe SARS-CoV-2 elicits a hyper-inflammatory response that results in intravascular inflammation with endothelial injury, which contributes to increased mortality in COVID-19. To predict the outcome of severe SARS-CoV-2 infection, we analyzed the baseline level of different biomarkers of vascular disorders in COVID-19 subjects upon intensive care unit (ICU) admission and prior to any vaccination. A total of 70 severe COVID-19 patients (37 survivors and 33 non-survivors) were included with 16 age- and sex-matched controls. Vascular dysfunction was monitored via soluble VCAM-1, E-selectin, ACE2 and Lp-PLA2, while abnormal platelet activation was evaluated by soluble P-selectin and CD40L in parallel. These results were correlated with routine laboratory parameters and disease outcomes. Among these parameters, VCAM-1 and ACE2 showed significantly higher serum levels in COVID-19 patients with early death vs. convalescent subjects. VCAM-1 was significantly correlated with the Horowitz index (r = 0.3115) and IL-6 (r = 0.4599), while ACE2 was related to E-selectin (r = 0.4143) and CD40L (r = 0.2948). Lp-PLA2 was altered in none of these COVID-19 subcohorts and showed no relationship with the other parameters. Finally, the pre-treatment level of VCAM-1 (≥1420 ng/mL) and ACE2 activity (≥45.2 µU/mL) predicted a larger risk for mortality (Log-Rank p = 0.0031 and p = 0.0117, respectively). Vascular dysfunction with endothelial cell activation is linked to lethal COVID-19, and highly elevated soluble VCAM-1 and ACE2 at admission to ICU may predict unfavorable outcomes.

The effect of COVID-19 vaccination status on all-cause mortality in patients hospitalised with COVID-19 in Hungary during the delta wave of the pandemic.

The high mortality of patients with coronavirus disease 2019 (COVID-19) is effectively reduced by vaccination. However, the effect of vaccination on mortality among hospitalised patients is under-researched. Thus, we investigated the effect of a full primary or an additional booster vaccination on in-hospital mortality among patients hospitalised with COVID-19 during the delta wave of the pandemic. This retrospective cohort included all patients (n = 430) admitted with COVID-19 at Semmelweis University Department of Medicine and Oncology in 01/OCT/2021-15/DEC/2021. Logistic regression models were built with COVID-19-associated in-hospital/30 day-mortality as outcome with hierarchical entry of predictors of vaccination, vaccination status, measures of disease severity, and chronic comorbidities. Deceased COVID-19 patients were older and presented more frequently with cardiac complications, chronic kidney disease, and active malignancy, as well as higher levels of inflammatory markers, serum creatinine, and lower albumin compared to surviving patients (all p < 0.05). However, the rates of vaccination were similar (52-55%) in both groups. Based on the fully adjusted model, there was a linear decrease of mortality from no/incomplete vaccination (ref) through full primary (OR 0.69, 95% CI: 0.39-1.23) to booster vaccination (OR 0.31, 95% CI 0.13-0.72, p = 0.006). Although unadjusted mortality was similar among vaccinated and unvaccinated patients, this was explained by differences in comorbidities and disease severity. In adjusted models, a full primary and especially a booster vaccination improved survival of patients hospitalised with COVID-19 during the delta wave of the pandemic. Our findings may improve the quality of patient provider discussions at the time of admission.

Sleeping monsters: chronic infections in COVID-19 pathogenesis.

We each harbor several chronic infections that can reactivate in response to various stressors and cause serious disease. In this forum article, we consider the reactivation of chronic microbial infections in the context of COVID-19.

Long-term health consequences of COVID-19 in survivors hospitalised at a tertiary care hospital and their correlation with acute COVID-19 severity and associated risk factors.

OBJECTIVES: To determine post-COVID syndromes in the Indian population, correlating a wide spectrum of post-COVID manifestations with acute disease severity and associated risk factors. BACKGROUND: Post-COVID Syndrome (PCS) is defined as signs and symptoms that develop during or after acute COVID-19 infection. DESIGN OF STUDY: This is a prospective observational cohort with repetitive measurements. METHODS: The study followed RT-PCR confirmed COVID-19-positive survivors discharged from HAHC Hospital, New Delhi, for a period of 12 weeks. The patients were interviewed over the phone at 4 weeks and 12 weeks from the onset of symptoms for evaluation of clinical symptoms and health-related quality of life parameters. RESULTS: A total of 200 patients completed the study. At the baseline, 50% of the patients were categorised as severe based on their acute infection assessment. At 12 weeks after symptom onset, fatigue (23.5%), hair loss (12.5%) and dyspnea (9%) were the main persistent symptoms. The incidence of hair loss (12.5%), memory loss (4.5%) and brain fog (5%) were found to be increased as compared to the acute infection period. Severity of the acute COVID infection behaved as an independent predictor for the development of PCS, with high odds of experiencing persistent cough (OR = 13.1), memory loss (OR = 5.2) and fatigue (OR = 3.3). Further, 30% of subjects in the severe group experienced statistically significant fatigue at 12 weeks (p < .05). CONCLUSION: From the results of our study, it can be concluded that there is a huge disease burden of post-COVID Syndrome (PCS). The PCS comprised multisystem symptoms ranging from serious complaints of dyspnea, memory loss and brain fog to non-serious complaints of fatigue and hair loss. Severity of the acute COVID infection behaved as an independent predictor for the development of PCS. Our findings strongly recommend vaccination against COVID-19, for protection from disease severity as well as prevention of PCS. RELEVANCE TO CLINICAL PRACTICE: The findings of our study support the multidisciplinary approach required for the management of PCS with a team comprising of physicians, nurses, physiotherapists and psychiatrists working in close coordination for the rehabilitation of these patients. As nurses are considered the most trusted professionals in the community and the class of health workers associated with rehabilitation, focus should be given to educating them on PCS, which would prove to be an important strategy for efficient monitoring and long-term management of COVID-19 survivors.

COVID-19 and Oral Mucosal Lesions: a Systematic Review.

Introduction: COVID-19 disease is caused by a mutated strain of the coronavirus family "SARS-CoV-2". It affects especially the respiratory system, but many clinical manifestations outside this system have been reported. Oral manifestations are uncommon, however, with the absence of common signs, they may represent the onset of COVID-19 disease. The aim of this systematic review is to observe if there is a correlation between SARS-CoV-2 infection and oral manifestations. Methods: The research was conducted on PubMed, Scopus, Google Scholars and Cochrane Library from March 2020 to May 2023. Each study was subjected to data extraction; including authors, year and month of publication, study type, patients' average age, type and localization of oral lesions, the positivity of the SARS-CoV-2 virus test, and comorbidities. Results: A total of 43 studies met the inclusion criteria and a total of 507 COVID-19 patients with 496 oral lesions were included. The most frequent was ulceration and the most common localization was the tongue. Conclusions: The results of our systematic review show a possible correlation between COVID-19 infection and oral manifestations. Further studies are required to determine if the lesions are directly connected to the virus.