RESUMEN
BackgroundSince the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) outbreaks in Wuhan, China, healthcare systems capacities in highly endemic areas have been overwhelmed. Approaches to efficient management are urgently needed and key to a quicker control of the outbreaks and casualties. We aimed to characterize the clinical features of hospitalized patients with confirmed or suspected COVID-19, and develop a mortality risk index for COVID-19 patients. MethodsIn this retrospective one-centre cohort study, we included all the confirmed or suspected COVID-19 patients hospitalized in a COVID-19-designated hospital from January 21 to February 5, 2020. Demographic, clinical, laboratory, radiological and clinical outcome data were collected from the hospital information system, nursing records and laboratory reports. ResultsOf 577 patients with at least one post-admission evaluation, the median age was 55 years (interquartile range [IQR], 39 - 66); 254 (44.0%) were men; 22.8% (100/438) were severe pneumonia on admission, and 37.7% (75/199) patients were SARS-CoV-2 positive. The clinical, laboratory and radiological data were comparable between positive and negative SARS-CoV-2 patients. During a median follow-up of 8.4 days (IQR, 5.8 - 12.0), 39 patients died with a 12-day cumulative mortality of 8.7% (95% CI, 5.9% to 11.5%). A simple mortality risk index (called ACP index), composed of Age and C-reactive Protein, was developed. By applying the ACP index, patients were categorized into three grades. The 12-day cumulative mortality in grade three (age [≥] 60 years and CRP [≥] 34 mg/L) was 33.2% (95% CI, 19.8% to 44.3%), which was significantly higher than those of grade two (age [≥] 60 years and CRP < 34 mg/L; age < 60 years and CRP [≥] 34 mg/L; 5.6% [95% CI, 0 to 11.3%]) and grade one (age < 60 years and CRP < 34 mg/L, 0%) (P <0.001), respectively. ConclusionThe ACP index can predict COVID-19 related short-term mortality, which may be a useful and convenient tool for quickly establishing a COVID-19 hierarchical management system that can greatly reduce the medical burden and therefore mortality in highly endemic areas.
RESUMEN
Objective To explore the phenotypic characteristics of T lymphocyte subsets in the peripheral blood (PB) of Patients with rheumatoid arthritis.Methods forty-seven patients with ankylosing spondylitis (AS) and 36 health control were selected as our subjects.The patients were divided into definite Diagnosis AS group and potential AS group according to symptom and X-ray,flow cytometry was applied to measure T lymphocyte subsets and HLA-B27 of peripheral blood.At the same time,the levels of ESR,CRP and IgA were also measured.The correlation between T lymphocyte subsets and CRP HLA-B27,IgA level was analyzed.Results There was no significant difference between The definite diagnosis AS patients and healthy controls regarding of the percentages of CD3 + cells in peripheral blood,However the percentage of CD4 + cells in definite diagnosis AS patients was significantly increased than that of healthy controls (P ＜ 0.05).The ratio of CD4 +/CD8 + cells was 3.80 ± 0.28 in AS patients,higher than that of potential AS patients.T lymphocyte subsets were showed an increase tendency as the increase the level of CRP,IgA.Conclusion Lower CD8 + cell and higher CD4 + cell were showed in the peripheral blood of AS patients,which was correlated with the disease activity and suggesting T cells might be involved in the pathogenesis process of AS.Meanwhile our data indicated that the immune response might be a susceptible factor of AS and early detection of T lymphocyte subsets might provide a diagnosis and treatment basis for diagnosis of AS.Therefore the disorder of T lymphocyte subsets might play an important role in the development of rheumatoid arthritis.