Blood group O is associated with post-COVID-19 syndrome in outpatients with a low comorbidity index.

BACKGROUND: ABO blood group system modulates the inflammatory response and has been implicated in COVID-19. Group O protects against SARS-CoV-2 infection, but there are no data regarding post-COVID-19 syndrome (PCS). Our aim was to assess this possible association. METHODS: Case-control study in a community setting, with subjects who had experienced mild COVID-19. Cases were PCS+, controls were PCS-, and the exposure variable, group O. We collected age, sex, BMI, smoking, comorbidities, inflammatory markers, anti-SARS-CoV-2 IgG antibodies, blood type and clinical data. Five composite inflammatory indices were developed. Multivariate analyses were performed. RESULTS: We analysed 121 subjects (56.2% women), mean age 45.7 ± 16 years. Blood group frequencies were 41.5%, 7.9%, 5.9%, and 44.5% for A, B, AB and O, respectively. Thirty-six patients were PCS+, without significant differences between cases and controls. Compared to non-O, a higher prevalence of PCS (p = .036), and number of symptoms of PCS (p = .017) were noted in group O. Concerning biomarkers, PCS + and PCS- showed no differences in A, B, and AB groups. In contrast, group O PCS + patients had significantly lower albumin-to-globulin ratio and higher lymphocyte count, fibrinogen, CRP levels, and higher percentages of 3 composite indices, than PCS- subjects. Group O showed a 6-fold increased risk of PCS, compared to non-O (adjusted OR = 6.25 [95%CI, 1.6-23]; p = .007). CONCLUSIONS: Group O has shown a consistent relationship with PCS, characterised by a more intense inflammatory burden than the other blood groups. Blood group O could be part of the immunological link between acute COVID-19 and PCS.

Post-COVID-19 syndrome, low-grade inflammation and inflammatory markers: a cross-sectional study.

OBJECTIVE: Post-COVID syndrome (PCS) is a poorly known entity. An underlying chronic, low-grade inflammation (LGI) has been theorized as a pathophysiological mechanism. Available data on biomarkers in PCS show conflicting results. Our aim was to know whether subjects with PCS present higher levels of inflammatory markers, after a mild COVID-19. METHODS: Analytical cross-sectional study. Cases of mild COVID-19 in a community setting were included. We collected epidemiological data (age, sex, BMI, smoking, comorbidities), variables of the acute COVID-19 (duration, symptoms), and data at 3 months after the acute phase (symptoms and laboratory test). Serum C-reactive protein (CRP), neutrophil and lymphocyte counts, neutrophil/lymphocyte ratio (NLR), lactate dehydrogenase, ferritin, fibrinogen, and D-dimer levels were analysed. LGI was defined as CRP >0.3 and <1.0 mg/dL. A subject was classified as PCS + if presented signs and symptoms >12 weeks after an infection consistent with COVID-19. Five composite indices (C1-C5) were developed, combining the upper ranges of biomarkers distributions. Multivariate analyses were performed. RESULTS: We analysed 121 mild COVID-19 cases (mean age = 45.7 years, 56.2% women). Among the acute symptoms, women presented a higher frequency of fatigue (54.4% vs 30.2%; p = .008). PCS affected 35.8% of women and 20.8% of men (p = .07), and the most reported symptoms were fatigue (42.8%), anosmia (40%), ageusia (22.8%), dyspnea (17.1%) and myalgia (11.4%). Neutrophil count, NLR, CRP and fibrinogen showed the best correlations with PCS and were selected to develop the indices. In women PCS+, C1, C3 and C4 indices were more frequently met, while in men PCS+, C2, C5 and CRP were in the range of LGI. Anosmia, ageusia and fatigue were related to higher neutrophil counts, with sex differences. Fibrinogen levels were higher in persistent myalgia (510 ± 82 mg/dL vs 394 ± 87; p = .013). In multivariable analysis, a woman with a neutrophil count above the median, or with fibrinogen level or NLR in the highest tertile, had a 4-5-fold increased risk of prevalent PCS. A man with CRP in the range of LGI, or fibrinogen level or a neutrophil count in the highest tertile, had a 10-17-fold increased risk of prevalent PCS. CONCLUSIONS: The data obtained in the present cross-sectional study seems to demonstrate a consistent association between PCS and upper ranges of the neutrophil count, NLR, fibrinogen, and CRP in the LGI range. Furthermore, composite indices appear useful in detecting relationships between slight elevations of biomarkers and PCS, and our study identifies relevant sex differences in symptoms and markers regarding the PCS.