SummaryThe present study investigated serum immunoglobulin (Ig) concentrations in relation to demographic factors, common habits (alcohol consumption and smoking) and metabolic abnormalities in an adult population-based survey including 460 individuals. Serum levels of interleukin (IL)-6, a marker of inflammation, were also determined. After adjusting for confounders, male sex was associated positively with IgA levels and negatively with IgM levels. Age was associated positively with IgA and IgG levels. Smoking was associated negatively with IgG levels. Heavy drinking was associated positively with IgA levels. Metabolic abnormalities (obesity and metabolic syndrome) were associated positively with IgA levels. Abdominal obesity and hypertriglyceridaemia were the components of metabolic syndrome associated most strongly with serum IgA. Heavy drinkers with metabolic syndrome showed particularly high serum IgA levels. Serum IL-6 levels were correlated positively with IgA and IgG concentrations. It is concluded that sex, age, alcohol consumption, smoking and common metabolic abnormalities should be taken into account when interpreting serum levels of IgA, IgG and IgM.

Serum total tryptase concentrations in adults are not significantly modified by atopy status, but may be modified by lifestyle factors, such as alcohol consumption and gender. Serum total tryptase concentrations are particularly dependent on age.

Objective:The objective was to investigate glycemic variability indices in relation to demographic factors and common environmental lifestyles in a general adult population.Methods:The A Estrada Glycation and Inflammation Study is a cross-sectional study covering 1516 participants selected by sampling of the population aged 18 years and over. A subsample of 622 individuals participated in the Glycation project, which included continuous glucose monitoring procedures. Five glycemic variability indices were analyzed, that is, SD, MAGE, MAG, CONGA1, and MODD.Results:Participants had a mean age of 48 years, 62% were females, and 12% had been previously diagnosed with diabetes. In the population without diabetes, index distributions were not normal but skewed to the right. Distributional regression models that adjusted for age, gender, BMI, alcohol intake, smoking status, and physical activity confirmed that all indices were positively and independently associated with fasting glucose levels and negatively with heavy drinking. SD, MAGE, and CONGA1 were positively associated with aging, and MAG was negatively associated with BMI. None of the GVI studied were influenced by physical activity. Age-group-specific reference values are given for the indices.Conclusions:This study yielded age-specific reference values for glucose variability indices in a general adult population. Significant increases were observed with aging. Heavy drinking of more than 140 g/week was associated with significant decreases in variability indices. No differences were found between males and females. These normative ranges provide a guide for clinical care, and may offer an alternative treatment target among persons with diabetes.

Background The prognosis of patients with Covid-19 infection is uncertain. We derived and validated a new risk model for predicting progression to disease severity, hospitalization, admission to intensive care unit (ICU) and mortality in patients with Covid-19 infection (Gal-Covid-19 scores). Methods This is a retrospective cohort study of patients with Covid-19 infection confirmed by reverse transcription polymerase chain reaction (RT-PCR) in Galicia, Spain. Data were extracted from electronic health records of patients, including age, sex and comorbidities according to International Classification of Primary Care codes (ICPC-2). Logistic regression models were used to estimate the probability of disease severity. Calibration and discrimination were evaluated to assess model performance. Results The incidence of infection was 0.39% (10 454 patients). A total of 2492 patients (23.8%) required hospitalization, 284 (2.7%) were admitted to the ICU and 544 (5.2%) died. The variables included in the models to predict severity included age, gender and chronic comorbidities such as cardiovascular disease, diabetes, obesity, hypertension, chronic obstructive pulmonary disease, asthma, liver disease, chronic kidney disease and haematological cancer. The models demonstrated a fair–good fit for predicting hospitalization {AUC [area under the receiver operating characteristics (ROC) curve] 0.77 [95% confidence interval (CI) 0.76, 0.78]}, admission to ICU [AUC 0.83 (95%CI 0.81, 0.85)] and death [AUC 0.89 (95%CI 0.88, 0.90)]. Conclusions The Gal-Covid-19 scores provide risk estimates for predicting severity in Covid-19 patients. The ability to predict disease severity may help clinicians prioritize high-risk patients and facilitate the decision making of health authorities.

Background: Measurements of C-reactive protein (CRP) concentration and erythrocyte sedimentation rate (ESR) are frequently ordered jointly in clinical practice.Aim: To investigate the factors associated with discordances between CRP concentration and ESR in adults.Methods: We conducted a cross-sectional study of 1472 adults with no known inflammatory disorders (44.5% male; median age, 52 years; range, 18-91 years), randomly selected from a municipality in Spain. The participants underwent simultaneous measurements of ESR, serum CRP, and interleukin-6 concentrations. Alcohol consumption, smoking, and physical activity were evaluated by questionnaire. Body mass index (BMI) measurement and metabolic syndrome criteria were available for all participants.Results: Most (n = 1123, 74.9%) of the participants showed normal CRP and ESR values. Sixty-nine (4.6%) participants showed high CRP and ESR values. Seventy-two (4.8%) participants showed a discordant pattern of high ESR and normal CRP values, which was associated with age after adjusting for sex, alcohol consumption, physical activity, BMI, and the presence of metabolic syndrome (odds ratio [OR], 1.052; 95% CI, 1.034-1.071; P < .001). A total of 208 (13.8%) participants showed a discordant pattern of high CRP and normal ESR values, which was associated with BMI after adjusting for covariates (OR, 1.099; 95% CI, 1.064-1.136; P < .001). BMI appeared to be the main determinant of serum CRP concentrations in this population. Serum interleukin-6 concentrations were positively associated with the discordant pattern of high CRP and normal ESR values.Conclusion: In this general adult population with no overt inflammatory disease, the discordant pattern of high ESR and normal CRP was associated with greater age, whereas the pattern of high CRP and normal ESR was associated with higher BMI.

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There is a synergism between risky alcohol consumption and common metabolic disorders (particularly obesity) in relation to serum concentrations of cytokeratin-18 (TPS), which probably reflect liver disease.

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