Risk Factors For Severe COVID-19 Research Articles

Limosilactobacillus reuteri DSM 17938 supplementation and SARS-CoV-2 specific antibody response in healthy adults: a randomized, triple-blinded, placebo-controlled trial

ABSTRACT Studies have shown that probiotics can decrease the symptoms of respiratory tract infections as well as increase antibody responses following certain vaccinations. We examined the effect of probiotic supplementation on anti-SARS-CoV-2 specific antibody responses upon SARS-CoV-2 infection as well as after COVID-19 vaccination. In this randomized, triple-blinded, placebo-controlled intervention study with a parallel design, 159 healthy adults without prior SARS-CoV-2 infection or COVID-19 vaccination and any known risk factors for severe COVID-19 were randomly allocated into two study arms. The active treatment arm consumed a probiotic product containing a minimum of 1 × 108 colony-forming units of Limosilactobacillus reuteri DSM 17938 + 10 μg vitamin D3 twice daily for 6 months. The placebo arm consumed identical tablets containing only 10 μg vitamin D3. Anti-SARS-CoV-2 specific antibodies and virus neutralizing antibody titers were analyzed from blood samples collected at baseline, after 3 months, and after 6 months. Differences in serum antibody titers between the two study arms were tested with independent t-test using log-transformed values. In the intention-to-treat (ITT) analysis, SARS-CoV-2 infected individuals in the active treatment arm (n = 6) tended to have higher serum anti-spike IgG (609 [168–1480] BAU/ml vs 111 [36.1–1210] BAU/ml, p = 0.080) and anti-receptor binding domain (RBD) IgG (928 [212–3449] BAU/ml vs (83.7 [22.8–2094] BAU/ml, p = 0.066) levels than individuals in the placebo arm (n = 6). Considering individuals who were fully vaccinated with mRNA-based COVID-19 vaccines, the active treatment arm (n = 10) exhibited significantly higher serum levels of anti-RBD IgA (135 [32.9–976] BAU/ml vs 61.3 [26.7–97.1] BAU/ml, p = 0.036) than the placebo arm (n = 7) >28 days postvaccination. Supplementation with specific probiotics might improve the long-term efficacy of mRNA-based COVID-19 vaccines via enhanced IgA response.

Removal of senescent cells reduces the viral load and attenuates pulmonary and systemic inflammation in SARS-CoV-2-infected, aged hamsters

Older age is one of the strongest risk factors for severe COVID-19. In this study, we determined whether age-associated cellular senescence contributes to the severity of experimental COVID-19. Aged golden hamsters accumulate senescent cells in the lungs, and the senolytic drug ABT-263, a BCL-2 inhibitor, depletes these cells at baseline and during SARS-CoV-2 infection. Relative to young hamsters, aged hamsters had a greater viral load during the acute phase of infection and displayed higher levels of sequelae during the post-acute phase. Early treatment with ABT-263 lowered pulmonary viral load in aged (but not young) animals, an effect associated with lower expression of ACE2, the receptor for SARS-CoV-2. ABT-263 treatment also led to lower pulmonary and systemic levels of senescence-associated secretory phenotype factors and to amelioration of early and late lung disease. These data demonstrate the causative role of age-associated pre-existing senescent cells on COVID-19 severity and have clear clinical relevance.

The Renin-Angiotensin System in COVID-19: Can Long COVID Be Predicted?

(1) Background: Co-morbidities such as hypertension and cardiovascular disease are major risk factors for severe COVID-19. The renin-angiotensin system (RAS) is critically involved in their pathophysiology and is counter-balanced by both angiotensin-converting enzyme 2 (ACE2), the functional receptor of SARS-CoV-2, and the kallikrein-kinin system (KKS). Considerable research interest with respect to COVID-19 treatment is currently being directed towards the components of these systems. In earlier studies, we noticed significantly reduced carboxypeptidase N (CPN, KKS member) activity and excessive angiotensin-converting enzyme (ACE, RAS member) activity in the sera of both hospitalized COVID-19 patients and a subgroup of convalescent patients. The data had been obtained using labeled bradykinin (BK) as a reporter peptide, which is a target of both CPN and ACE. The data were supplemented with mass-spectrometry-based serum proteomic analysis. Here, we hypothesize that the degree of BK serum degradation could be indicative of Long COVID. (2) Review and Discussion: The recent literature is briefly reviewed. The fact that the levels of the BK serum degradation products did not reach normal concentrations in almost half of the patients during convalescences could have been partially due to a dysregulated RAS. (3) Conclusions: Standard tests for routine patient care in Long COVID come often back normal. We suggest that the measurement of selected members of the RAS such as ACE and angiotensin II or the use of our BK degradation assay could identify Long COVID candidates. Clinical studies are required to test this hypothesis.

Individuals at risk for severe COVID-19 in whom ritonavir-containing therapies are contraindicated or may lead to interactions with concomitant medications: a retrospective analysis of German health insurance claims data.

Nirmatrelvir/ritonavir is authorized for the treatment of COVID-19 but has several contraindications and potential drug-drug interactions (pDDIs) due to ritonavir-induced irreversible inhibition of cytochrome P450 3A4. We aimed to assess the prevalence of individuals with one or more risk factors for severe COVID-19 along with contraindications and pDDIs due to ritonavir-containing COVID-19 therapy. Retrospective observational study of individuals with one or more risk factors according to Robert Koch Institute criteria for severe COVID-19 according to German statutory health insurance (SHI) claims data from the pre-pandemic years 2018-2019 based on the German Analysis Database for Evaluation and Health Services Research. Prevalence was extrapolated to the entire SHI population using age-adjusted and sex-adjusted multiplication factors. Nearly 2.5 million fully insured adults, representing 61 million people in the German SHI population, were included in the analysis. In 2019, prevalence of individuals that would have been at risk of severe COVID-19 was 56.4%. Amongst them, the prevalence of contraindications for treatment with ritonavir-containing COVID-19 therapy was approximately 2% according to presence of somatic comorbidities (severe liver or kidney disease). Prevalence of intake of medicines contraindicated for their potential interactions with ritonavir-containing COVID-19 therapy was 16.5% according to Summary of Product Characteristics and 31.8% according to previously published data. The prevalence of individuals at risk of pDDIs during ritonavir-containing COVID-19 therapy without adjustment of their concomitant therapy was 56.0% and 44.3%, respectively. Prevalence data for 2018 were similar. Administering ritonavir-containing COVID-19 therapy can be challenging as thorough medical record review and close monitoring are required. In some cases, ritonavir-containing treatment may not be appropriate due to contraindications, risk of pDDIs, or both. For those individuals, an alternative ritonavir-free treatment should be considered.

TGF Beta as a Prognostic Biomarker of COVID-19 Severity in Patients with NAFLD-A Prospective Case-Control Study.

Non-alcoholic fatty liver disease (NAFLD), the leading cause of chronic liver disease in Western countries, has been identified as a possible risk factor for COVID-19 severity. However, the immunological mechanisms by which NAFLD exacerbates COVID-19 remain unknown. Transforming growth factor-beta 1 (TGF-β1) has an important immunomodulatory and pro-fibrotic role, which has already been described in NAFLD. However, the role of TGF-β1 in COVID-19 remains unclear, and could also be the pathophysiology link between these two conditions. The aim of this case-control study was to analyze the expression of TGF-β1 in COVID-19 patients depending on the presence of NAFLD and COVID-19 severity. Serum TGF-β1 concentrations were measured in 60 hospitalized COVID-19 patients (30 with NAFLD). NAFLD was associated with higher serum TGF-β1 concentrations that increased with disease severity. Admission TGF-β1 concentrations showed good discriminative accuracy in predicting the development of critical disease and COVID-19 complications (need for advanced respiratory support, ICU admission, time to recovery, development of nosocomial infections and mortality). In conclusion, TGF-β1 could be an efficient biomarker for predicting COVID-19 severity and adverse outcomes in patients with NAFLD.

COVID-19 hospitalization outcomes in adults by HIV status; a nation-wide register-based study.

To assess the outcome of patients hospitalized with COVID-19 by HIV status and risk factors for severe COVID-19 in people living with HIV (PWH), we performed a nationwide cohort study using register data. All people aged ≥18 years hospitalized with a primary COVID-19 diagnosis (U07.1 or U07.2) in Sweden between February 2020 and October 2021 were included. The primary outcome was severe COVID-19 [intensive care unit (ICU) admission or 90-day mortality]. Secondary outcomes were days in hospital and ICU, complications in hospital, and risk factors for severe COVID-19 in PWH. Regression analyses were performed to assess severe COVID-19 by HIV status and risk factors. Data from 64 815 hospitalized patients were collected, of whom 121 were PWH (0.18%). PWH were younger (p < 0.001), and larger proportions were men (p = 0.014) and migrants (p < 0.001). Almost all PWH had undetectable HIV-RNA (93%) and high CD4 T-cell counts (median = 560 cells/μL, interquartile range: 376-780). In an unadjusted model, PWH had statistically significant lower odds of severe COVID-19 compared with patients without HIV [odds ratio (OR) = 0.6, 95% confidence interval (CI): 0.34-0.94], but there was no significant difference after adjusting for age and comorbidity (adjusted OR = 0.7, 95% CI: 0.43-1.26). A statistically significant lower proportion of PWH (8%, 95% CI: 5-15%) died within 90 days compared with those without HIV (16%, 95% CI: 15-16%, p = 0.024). There was no statistically significant difference in days in hospital and complications during the hospital stay between PWH and patients without HIV. In this nationwide study including well-treated PWH, HIV was not a risk factor in hospitalized patients for developing severe COVID-19.

COVID-19 in inherited metabolic disorders: Clinical features and risk factors for disease severity.

Old age, obesity, and certain chronic conditions are among the risk factors for severe COVID-19. More information is needed on whether inherited metabolic disorders (IMD) confer risk of more severe COVID-19. We aimed to establish COVID-19 severity and associated risk factors in patients with IMD currently followed at a single metabolic center. Among all IMD patients followed at a single metabolic referral center who had at least one clinic visit since 2018, those with accessible medical records were reviewed for SARS-CoV-2 tests. COVID-19 severity was classified according to the WHO recommendations, and IMD as per the international classification of IMD. Among the 1841 patients with IMD, 248 (13.5%) had tested positive for COVID-19, 223 of whom gave consent for inclusion in the study (131 children and 92 adults). Phenylalanine hydroxylase (48.4%) and biotinidase (12.1%) deficiencies were the most common diagnoses, followed by mucopolysaccharidoses (7.2%). 38.1% had comorbidities, such as neurologic disabilities (22%) or obesity (9.4%). The majority of COVID-19 episodes were asymptomatic (16.1%) or mild (77.6%), but 6 patients (2.7%) each had moderate and severe COVID-19, and two (0.9%) had critical COVID-19, both of whom died. 3 patients had an acute metabolic decompensation during the infection. Two children developed multisystem inflammatory syndrome (MIS-C). Long COVID symptoms were present in 25.2%. Presence of comorbidities was significantly associated with more severe COVID-19 in adults with IMD (p<0.01), but not in children (p=0.45). Compared to other categories of IMD, complex molecule degradation disorders were significantly associated with more severe COVID-19 in children (p<0.01); such a significant IMD category distinction was not found in adults. This is the largest study on COVID-19 in IMD patients relying on real-word data and objective definitions, and not on merely expert opinions or physician surveys. COVID-19 severity and long COVID incidence in IMD are probably similar to the general population, and the risk of acute metabolic decompensation is not likely to be greater than that in other acute infections. Disease category (complex molecule degradation) in children, and comorbidities in adults may be associated with COVID-19 severity in IMD. Additionally, the first documented accounts of COVID-19 in 27 different IMD are recorded. The high occurrence of MIS-C may be coincidental, but warrants further study.

Fear of fertility side effects is a major cause for COVID-19 vaccine hesitance in infertile patients.

This study aims to investigate the acceptance, hesitance and attitudes of infertile female patients toward the COVID-19 vaccination. An anonymous cross-sectional online survey was conducted between 28th of January to 10th of August 2022. The questionnaire consisted of 35 questions on demographics, COVID-19 vaccination status, prior concerns of the vaccinated participants and reasons for not vaccinating among unvaccinated participants, and factors influencing the decision not to vaccinate. Of 406 participants who answered all questions, 92.1% reported having received at least one dose of COVID-19 vaccine, 7.9% were unvaccinated. Factors associated with the decision for vaccination were full time or part time employment (p = 0.05), high trust in the principle of vaccination (p < 0.001), high willingness for other vaccination during fertility treatment (p < 0.001) and risk factors for severe COVID-19 (p = 0.007). Concerns about directly occurring adverse effects after vaccination (42.0%), about impact on own fertility (21.9%) or on the fertility treatment (27.5%) were the main concerns beforehand of vaccinated participants. Correlations between fertility concerns and mistrust in the general principle of vaccination were found. Beside general health concerns, unvaccinated participants reported fears about fertility impairment as the most important arguments against a COVID-19 vaccination (median of 5.0 on a five-point-Likert scale). Both vaccinated and unvaccinated participants stated having concerns and fears about side effects of the COVID-19 vaccination on their fertility. To increase patients' trust in medical recommendations, such as vaccination, to avoid mistrust in the medical system and to maintain patient's compliance, there should be additional educational services that address infertile patients and their needs.

Olfactory alterations in long COVID

Olfactory anosmia is the complete loss of the sense of smell, while hyposmia is the partial loss of smell. SARS-CoV-2 is the pathogen responsible for COVID-19. The virus is composed of the membrane, envelope, and spike protein. In the physiology of smell, odoriferous substances bind to proteins secreted by sustentacular cells to be processed by olfactory receptor neurons. Olfactory dysfunction is one of the main manifestations of COVID-19. The duration of persistent symptoms in long COVID is longer in patients who presented severe symptoms compared to those with mild or moderate disease. Therefore, all known risk factors for severe COVID-19, such as obesity or advanced age, fit the risk profile for long COVID.

Brain fog in long COVID limits function and health status, independently of hospital severity and preexisting conditions.

The U.S. government has named post-acute sequelae of COVID-19 (longCOVID) as influential on disability rates. We previously showed that COVID-19 carries a medical/functional burden at 1 year, and that age and other risk factors of severe COVID-19 were not associated with increased longCOVID risk. Long-term longCOVID brain fog (BF) prevalence, risk factors and associated medical/functional factors are poorly understood, especially after mild SARS-CoV-2 infection. A retrospective observational cohort study was conducted at an urban tertiary-care hospital. Of 1,032 acute COVID-19 survivors from March 3-May 15, 2020, 633 were called, 530 responded (59.2 ± 16.3 years, 44.5% female, 51.5% non-White) about BF prevalence, other longCOVID, post-acute ED/hospital utilization, perceived health/social network, effort tolerance, disability. At approximately 1-year, 31.9% (n = 169) experienced BF. Acute COVID-19 severity, age, and premorbid cardiopulmonary comorbidities did not differ between those with/without BF at 1 year. Patients with respiratory longCOVID had 54% higher risk of BF than those without respiratory longCOVID. BF associated with sleep disturbance (63% with BF vs.29% without BF, p < 0.0001), shortness of breath (46% vs.18%, p < 0.0001), weakness (49% vs.22%, p < 0.0001), dysosmia/dysgeusia (12% vs.5%, p < 0.004), activity limitations (p < 0.001), disability/leave (11% vs.3%, p < 0.0001), worsened perceived health since acute COVID-19 (66% vs.30%, p < 0.001) and social isolation (40% vs.29%, p < 0.02), despite no differences in premorbid comorbidities and age. A year after COVID-19 infection, BF persists in a third of patients. COVID-19 severity is not a predictive risk factor. BF associates with other longCOVID and independently associates with persistent debility.

Prior metabolic surgery reduced COVID-19 severity: Systematic analysis from year one of the COVID-19 pandemic

BackgroundObesity is a risk factor for COVID-19 severity. Recent studies suggest that prior metabolic surgery (MS) modifies the risk of COVID-19 severity. MethodsCOVID-19 outcomes were compared between patients with MS (n = 287) and a matched cohort of unoperated patients (n = 861). Multiple logistic regression was used to identify predictors of hospitalization. A systematic literature review and pooled analysis was conducted to provide overall evidence of the influence of prior metabolic surgery on COVID-19 outcomes. ResultsCOVID-19 patients with MS had less hospitalization (9.8% versus 14.3%, p = 0.049). Age 70+, higher BMI, and low weight regain after MS were associated with more hospitalization after COVID-19. A systematic review of 7 studies confirmed that MS reduced the risk of post-COVID-19 hospitalization (OR = 0.71, 95%CI = [0.61–0.83], p < 0.0001) and death (OR = 0.44, 95%CI = [0.30–0.65], p < 0.0001). ConclusionMS favorably modifies the risks of severe COVID-19 infection. Older age and higher BMI are major risk factors for severity of COVID-19 infection.

Risk factors for severe COVID-19 in the young—before and after ICU admission

BackgroundFactors associated with severe COVID-19 and death among young adults are not fully understood, including differences between the sexes. The aim of this study was to identify factors associated with severe COVID-19 requiring intensive care and 90-day mortality among women and men below 50 years of age.MethodsA register-based study using data from mandatory national registers, where patients with severe COVID-19 admitted to the ICU with need for mechanical ventilation (cases) between March 2020 and June 2021 were matched regarding age, sex, and district of residence with 10 population-based controls. Both the study population and the controls were divided into groups based on age (< 50 years, 50–64, and ≥ 65 years) and sex. Multivariate logistic regression models including socioeconomic factors were used to calculate odds ratios (OR) with 95% confidence intervals (CIs) for associations between severe COVID-19 in the population to compare the magnitude of the risk associations for co-morbidities in the different age categories, and subsequently factors associated with 90-day mortality among patients admitted to ICU.ResultsIn total, 4921 cases and 49,210 controls (median age 63 years, 71% men) were included.The co-morbidities with the strongest associations with severe COVID-19 for the young population compared to older patients were chronic kidney disease (OR 6.80 [3.61–12.83]), type 2 diabetes (OR 6.31 [4.48–8.88]), hypertension (OR 5.09 [3.79–6.84]), rheumatoid arthritis (OR 4.76 [2.29–9.89]), obesity (OR 3.76 [2.88–4.92]), heart failure (OR 3.06 [1.36–6.89]), and asthma (OR 3.04 [2.22–4.16]).When comparing women vs. men < 50 years of age, stronger associations were seen for women regarding type 2 diabetes (OR 11.25 [6.00–21.08] vs OR 4.97 [3.25–7.60]) and hypertension (OR 8.76 [5.10–15.01] vs OR 4.09 [2.86–5.86]).The factors associated with 90-day mortality in the young were previous venous thromboembolism (OR 5.50 [2.13–14.22]), chronic kidney disease (OR 4.40 [1.64–11.78]) and type 2 diabetes (OR 2.71 [1.39–5.29]). These associations with 90-day mortality were foremost driven by the female population.ConclusionChronic kidney failure, type 2 diabetes, hypertension, rheumatoid arthritis, obesity, heart failure, and asthma were the strongest risk factors associated with severe COVID-19 requiring ICU-care in individuals < 50 years compared to the older population. However, after ICU admission, previous thromboembolism, chronic kidney failure, and type 2 diabetes were associated with increased 90-day mortality. The risk associations for co-morbidities were generally stronger among younger individuals compared to older and in women compared to men.

Investigating the association of measures of epigenetic age with COVID-19 severity: evidence from secondary analyses of open access data

Epigenetic modifications may contribute to inter-individual variation that is unexplainable by presently known risk factors for COVID-19 severity (e.g., age, excess weight, or other health conditions). Estimates of youth capital (YC) reflect the difference between an individual's epigenetic - or biological - age and chronological age, and may quantify abnormal aging due to lifestyle or other environmental exposures, providing insights that could inform risk-stratification for severe COVID-19 outcomes. This study aims to thereby a) assess the association between YC and epigenetic signatures of lifestyle exposures with COVID-19 severity, and b) to assess whether the inclusion of these signatures in addition to a signature of COVID-19 severity (EPICOVID) improved the prediction of COVID-19 severity. This study uses data from two publicly-available studies accessed via the Gene Expression Omnibus (GEO) platform (accession references: GSE168739 and GSE174818). The GSE168739 is a retrospective, cross-sectional study of 407 individuals with confirmed COVID-19 across 14 hospitals in Spain, while the GSE174818 sample is a single-center observational study of individuals admitted to the hospital for COVID-19 symptoms (n = 102). YC was estimated using the (a) Gonseth-Nusslé, (b) Horvath, (c) Hannum, and (d) PhenoAge estimates of epigenetic age. Study-specific definitions of COVID-19 severity were used, including hospitalization status (yes/no) (GSE168739) or vital status at the end of follow-up (alive/dead) (GSE174818). Logistic regression models were used to assess the association between YC, lifestyle exposures, and COVID-19 severity. Higher YC as estimated using the Gonseth-Nusslé, Hannum and PhenoAge measures was associated with reduced odds of severe symptoms (OR = 0.95, 95% CI = 0.91-1.00; OR = 0.81, 95% CI = 0.75 - 0.86; and OR = 0.85, 95% CI = 0.81-0.88, respectively) (adjusting for chronological age and sex). In contrast, a one-unit increase in the epigenetic signature for alcohol consumption was associated with 13% increased odds of severe symptoms (OR = 1.13, 95% CI = 1.05-1.23). Compared to the model including only age, sex and the EPICOVID signature, the additional inclusion of PhenoAge and the epigenetic signature for alcohol consumption improved the prediction of COVID-19 severity (AUC = 0.94, 95% CI = 0.91-0.96 versus AUC = 0.95, 95% CI = 0.93-0.97; p = 0.01). In the GSE174818 sample, only PhenoAge was associated with COVID-related mortality (OR = 0.93, 95% CI = 0.87-1.00) (adjusting for age, sex, BMI and Charlson comorbidity index). Epigenetic age is a potentially useful tool in primary prevention, particularly as an incentive towards lifestyle changes that target reducing the risk of severe COVID-19 symptoms. However, additional research is needed to establish potential causal pathways and the directionality of this effect.

Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques.

With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken to increase our understanding of the disease and the factors which determine diverse clinical evolutions. Here we focused on a fully data-driven exploration regarding which factors (clinical or otherwise) were most informative for SARS-CoV-2 pneumonia severity prediction via machine learning (ML). In particular, feature selection techniques (FS), designed to reduce the dimensionality of data, allowed us to characterize which of our variables were the most useful for ML prognosis. We conducted a multi-centre clinical study, enrolling n = 1548 patients hospitalized due to SARS-CoV-2 pneumonia: where 792, 238, and 598 patients experienced low, medium and high-severity evolutions, respectively. Up to 106 patient-specific clinical variables were collected at admission, although 14 of them had to be discarded for containing ⩾60% missing values. Alongside 7 socioeconomic attributes and 32 exposures to air pollution (chronic and acute), these became d = 148 features after variable encoding. We addressed this ordinal classification problem both as a ML classification and regression task. Two imputation techniques for missing data were explored, along with a total of 166 unique FS algorithm configurations: 46 filters, 100 wrappers and 20 embeddeds. Of these, 21 setups achieved satisfactory bootstrap stability (⩾0.70) with reasonable computation times: 16 filters, 2 wrappers, and 3 embeddeds. The subsets of features selected by each technique showed modest Jaccard similarities across them. However, they consistently pointed out the importance of certain explanatory variables. Namely: patient's C-reactive protein (CRP), pneumonia severity index (PSI), respiratory rate (RR) and oxygen levels -saturation Sp O2, quotients Sp O2/RR and arterial Sat O2/Fi O2-, the neutrophil-to-lymphocyte ratio (NLR) -to certain extent, also neutrophil and lymphocyte counts separately-, lactate dehydrogenase (LDH), and procalcitonin (PCT) levels in blood. A remarkable agreement has been found a posteriori between our strategy and independent clinical research works investigating risk factors for COVID-19 severity. Hence, these findings stress the suitability of this type of fully data-driven approaches for knowledge extraction, as a complementary to clinical perspectives.

Analysis of risk factors for severe COVID-19

Global aging has accompanied the worldwide increase in average life expectancy over the past century. The coronavirus disease (COVID-19) pandemic has increased morbidity among all groups of the population, but it poses a particular threat to people of older age groups. Multiple concomitant pathologies form an unfavorable background for the course of COVID-19. It was found that the level of in-hospital mortality in the care of older age groups was high, including in countries with high-income levels and expenditures on health care. We have identified predictors of the severe course of COVID-19. In our opinion, such predictors should be considered when identifying risk groups and applying anticipatory strategies to them, in particular, timely hospitalization, the administration of antiviral therapy, and treatment of concomitant pathology (chronic kidney disease, hypertension, diabetes mellitus, etc.). The question of testing elderly patients for the presence of SARS-CoV-2 is especially relevant when weakness increases, the state of consciousness worsens, and/or dyspnea appears or worsens. Postponement of hospitalization can negatively affect the results of treatment. Thus, interleukin-6, C-reactive protein, the absolute level of lymphocytes, albumin, and ferritin can be used when evaluating the criteria for hospitalization in this group of patients. Interleukin-6 and C-reactive protein are positively associated with body mass index. The excess of adipose tissue is considered an independent predictor of severe COVID-19 and, unlike age, can be modified. We suggested that a hospital mortality risk calculator based on the personalized lethality risk index on admission should be used in practice. Adequate therapy of concomitant pathology is also important in the prevention of COVID-19 complications. Protection of susceptible groups at high risk of severe COVID-19 has strategic importance in preventing high mortality rates in population regardless of age.

Hypoglycemic Therapy and the Course of Post-Covid Syndrome, is There a Connection?

Diabetes mellitus (both type 1 and type 2) is considered one of the risk factors for severe COVID-19 and death from this infection. Past infection with COVID-19 leads to deterioration in the control of existing diabetes mellitus, progression of pre-diabetes to diabetes, an increase in the number of new cases of diabetes and an increase in the proportion of glucocorticoid-induced diabetes, which significantly aggravates the course of post-COVID syndrome for this category of patients. Antihyperglycemic drugs may influence the pathogenesis of COVID-19, which may be of relevance for the treatment of patients with type 2 diabetes mellitus and post-COVID syndrome. The review also presents our own data on the effect of various regimens of oral hypoglycemic agents on post-COVID syndrome in people with type 2 diabetes mellitus. The observation showed that the use of dipeptidyl peptidase-4 inhibitors as part of a treatment strategy in patients with type 2 diabetes mellitus with a past COVID-19 infection was associated with a decrease in the duration and severity of post-COVID symptoms.

Association between Clinical Characteristics and Laboratory Findings of 102 Patients with COVID-19 in Iraq

Background: The coronavirus epidemic (COVID-19) initially appeared in Wuhan, China in December, 2019 and then rapidly spread all over the world. The importance of information about the clinical and non-clinical characteristics of Iraqi COVID-19 patients was highlighted. The aim of this study was to investigate the demographic, clinical, and laboratory data of COVID-19 with assessed the influence of comorbidities on the severity of infections. Materials and Methods: We collected medical records of hospitalized 102 patients with COVID-19 at three hospitals from December 2021 to May 2022. Patients in the cohort study were diagnosed with positive COVID-19 by reverse transcription polymerase chain reaction according to nasopharyngeal samples. The cohort study was for separating two groups: non-severe and severe or critical groups. Results: The receiver operating characteristic (ROC) curve revealed that patients aged ≥ 48 years had higher levels of D-dimer, white blood cell (WBC) and neutrophils count (NUE), neutrophil-to-lymphocyte ratio (NLR), and platelets-to-lymphocyte ratio (PLR) when compared to non-severe patients. These parameters were used to predict high-risk patients with low lymphocyte counts. A logistic regression model generated results to include D-dimer, NUE, and lymphocytes count (LYM) were identified as independent risk factors for intensive care unit (ICU) patients of COVID-19 whereas WBC was a dependent factor with an odds ratio (8.330, 1.288, 0.225, and 1.534), respectively. Cut-off values by ROC curve for D-dimer, NUE, WBC, LYM, PLR, and NLR parameters were ≥ 0.780, ≥7.7, ≥10.5, ≥1.27, ≥200, and ≥5.4, respectively. Conclusion: In conclusion, this study demonstrated that COVID-19 severity can be predicted by analyzing clinical and laboratory data of patients. Comorbidities such as hypertension, diabetes mellitus, cardiac diseases, kidney diseases, malignancy, and hepatic diseases were identified as significant risk factors for COVID-19 severity and progression.

Clinical Profile and Risk Factors for Severe COVID-19 in Hospitalized Patients from Rio de Janeiro, Brazil: Comparison between the First and Second Pandemic Waves.

Since COVID-19 was declared a pandemic, Brazil has become one of the countries most affected by this disease. A year into the pandemic, a second wave of COVID-19 emerged, with a rapid spread of a new SARS-CoV-2 lineage of concern. Several vaccines have been granted emergency-use authorization, leading to a decrease in mortality and severe cases in many countries. However, the emergence of SARS-CoV-2 variants raises the alert for potential new waves of transmission and an increase in pathogenicity. We compared the demographic and clinical data of critically ill patients infected with COVID-19 hospitalized in Rio de Janeiro during the first and second waves between July 2020 and October 2021. In total, 106 participants were included in this study; among them, 88% had at least one comorbidity, and 37% developed severe disease. Disease severity was associated with older age, pre-existing neurological comorbidities, higher viral load, and dyspnea. Laboratory biomarkers related to white blood cells, coagulation, cellular injury, inflammation, renal, and liver injuries were significantly associated with severe COVID-19. During the second wave of the pandemic, the necessity of invasive respiratory support was higher, and more individuals with COVID-19 developed acute hepatitis, suggesting that the progression of the second wave resulted in an increase in severe cases. These results can contribute to understanding the behavior of the COVID-19 pandemic in Brazil and may be helpful in predicting disease severity, which is a pivotal for guiding clinical care, improving patient outcomes, and defining public policies.

A prospective cohort study of economic and nutritional changes during the COVID-19 pandemic in urban Callao, Lima, Peru

Background: Peru followed strict quarantine measures to control COVID-19 but reported excess mortality rates during the pandemic that were the highest globally. High obesity prevalence in Peru may have contributed to COVID-19 mortality, although economic hardship during the pandemic could have reduced obesity. To investigate these potential associations, we updated surveys of economic status, nutritional status, and risk factors for severe COVID-19 in residents of Callao, in the Lima metropolitan area of Peru. Methods: We attempted in December 2021 to invite members of households selected randomly from a map that had provided data in previous surveys 2016-2018 and 2019-2020 to participate in another survey. Households were contacted by telephone and, if uncontactable, were visited. Demographic, economic, and health-related data were collected using the Kobo toolbox platform. Results. We interviewed 83% (305/369) of censused household members for 65% (90/138) of previously participating households. Dissaving activities were reported by all households during the pandemic, more than 2016-2018 (51%, 95% confidence interval, CI=41-62%) and 2019-2020 (44%, 95%CI=33-53%, both p&lt;0.0001). Moreover, 90% (81/90, 95%CI=82-95%) of households reported inability to afford sufficient food and hunger rates increased 1.4 times compared with 2016-2018 (95%CI=1.02, 2.0, p=0.04). Despite financial and food insecurity during the pandemic, the mean adult body mass index was maintained unchanged from the 2019-2020 survey at 27 kg/m2 (standard deviation, SD=4.5 kg/m2), having increased (p=0.0001) from 26 kg/m2 (SD=4.1 kg/m2) in 2016-2018. Overweight/obesity was the most common risk factor for severe COVID-19, and adults were 3.1 times (95%CI=2.3-4.2, p&lt;0.0001) more likely to be overweight/obese than they were to have a co-morbid illness. There was considerable dietary diversity and only 23% of participants had taken micronutrient supplements and 11% probiotics in the past year. Conclusion: Obesity was the most prevalent risk factor for severe COVID-19 despite economic pressure, food insecurity, and hunger during the pandemic.

Combining viral genomics and clinical data to assess risk factors for severe COVID-19 (mortality, ICU admission, or intubation) amongst hospital patients in a large acute UK NHS hospital Trust.

Throughout the COVID-19 pandemic, valuable datasets have been collected on the effects of the virus SARS-CoV-2. In this study, we combined whole genome sequencing data with clinical data (including clinical outcomes, demographics, comorbidity, treatment information) for 929 patient cases seen at a large UK hospital Trust between March 2020 and May 2021. We identified associations between acute physiological status and three measures of disease severity; admission to the intensive care unit (ICU), requirement for intubation, and mortality. Whilst the maximum National Early Warning Score (NEWS2) was moderately associated with severe COVID-19 (A = 0.48), the admission NEWS2 was only weakly associated (A = 0.17), suggesting it is ineffective as an early predictor of severity. Patient outcome was weakly associated with myriad factors linked to acute physiological status and human genetics, including age, sex and pre-existing conditions. Overall, we found no significant links between viral genomics and severe outcomes, but saw evidence that variant subtype may impact relative risk for certain sub-populations. Specific mutations of SARS-CoV-2 appear to have little impact on overall severity risk in these data, suggesting that emerging SARS-CoV-2 variants do not result in more severe patient outcomes. However, our results show that determining a causal relationship between mutations and severe COVID-19 in the viral genome is challenging. Whilst improved understanding of the evolution of SARS-CoV-2 has been achieved through genomics, few studies on how these evolutionary changes impact on clinical outcomes have been seen due to complexities associated with data linkage. By combining viral genomics with patient records in a large acute UK hospital, this study represents a significant resource for understanding risk factors associated with COVID-19 severity. However, further understanding will likely arise from studies of the role of host genetics on disease progression.