Investigating Biomarkers for COVID-19 Morbidity and Mortality.

BACKGROUND AND OBJECTIVE: This retrospective study aims to disclose further early parameters of COVID-19 morbidity and mortality. METHODS: Three hundred and eighty-two COVID-19 patients, recruited between March and April 2020, were divided into three groups according to their outcome: (1) hospital ward group (patients who entered the hospital wards and survived); (2) intensive care unit (ICU) group (patients who attended the ICU and survived); (3) the deceased group (patients admitted to ICU with a fatal outcome). We investigated routine laboratory parameters such as albumin, glycemia, hemoglobin amylase, lipase, AST, ALT, GGT, LDH, CK, MGB, TnT-hs, IL-6, ferritin, CRP, PCT, WBC, RBC, PLT, PT, INR, APTT, FBG, and D-dimer. Blood withdrawal was carried out at the beginning of the hospitalization period. RESULTS: ANOVA and ROC data evidenced that the concomitant presence of alterations in albumin, lipase, AST, ALT, LDH, MGB, CK, IL-6, ferritin in women, CRP and D-dimer is an early sign of fatal outcomes. CONCLUSION: The present study confirms and extends the validity of routine laboratory biomarkers (i.e., lipase, AST, ALT, LDH, CK, IL-6, ferritin in women, CRP and D-dimer) as indicators of COVID-19 morbidity and mortality. Furthermore, the investigation suggests that both gross changes in albumin and MGB, markers of liver and heart damage, may early disclose COVID-19 fatal outcomes.

IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study.

Purpose: Robust biomarkers that predict disease outcomes amongst COVID-19 patients are necessary for both patient triage and resource prioritisation. Numerous candidate biomarkers have been proposed for COVID-19. However, at present, there is no consensus on the best diagnostic approach to predict outcomes in infected patients. Moreover, it is not clear whether such tools would apply to other potentially pandemic pathogens and therefore of use as stockpile for future pandemic preparedness. Methods: We conducted a multi-cohort observational study to investigate the biology and the prognostic role of interferon alpha-inducible protein 27 (IFI27) in COVID-19 patients. Results: We show that IFI27 is expressed in the respiratory tract of COVID-19 patients and elevated IFI27 expression in the lower respiratory tract is associated with the presence of a high viral load. We further demonstrate that the systemic host response, as measured by blood IFI27 expression, is associated with COVID-19 infection. For clinical outcome prediction (e.g., respiratory failure), IFI27 expression displays a high sensitivity (0.95) and specificity (0.83), outperforming other known predictors of COVID-19 outcomes. Furthermore, IFI27 is upregulated in the blood of infected patients in response to other respiratory viruses. For example, in the pandemic H1N1/09 influenza virus infection, IFI27-like genes were highly upregulated in the blood samples of severely infected patients. Conclusion: These data suggest that prognostic biomarkers targeting the family of IFI27 genes could potentially supplement conventional diagnostic tools in future virus pandemics, independent of whether such pandemics are caused by a coronavirus, an influenza virus or another as yet-to-be discovered respiratory virus.

C-reactive protein as an early predictor of COVID-19 severity.

BACKGROUND: Data for predicting severity of patients with COVID-19 infection are sparse and still under investigation. We retrospectively studied whether the admission serum C-reactive protein level (CRP) can serve as nearly predictor of disease severity during COVID-19 infection in comparison with other hematologic and inflammatory markers. METHODS: We included all consecutive patients who were admitted in Cheikh Khalifa International University Hospital, Casablanca, Morocco, between February to April 2020, with a confirmed diagnosis of COVID-19 infection using SARS-CoV-2 viral nucleic acid via RT-PCR. The complete blood count and serum CRP level were routinely measured on admission. All clinical and laboratory data of patients were collected and analyzed. The classification of the disease severity was in accordance with the clinical classification of the WHO interim guidance, and the management of patients were adapted to the national management guideline. We estimated receiver operating characteristic (ROC) curves of blood routine parameters as well as their association with COVID-19 disease severity. RESULTS: 145 COVID-19 patients were included in the study. The median age (range) was 50 (32-63) years, and 75 (51.7%) were men. 101 patients were classified in the non-severe group and 44 patients in the severe group. Based on disease severity, significant differences were observed in the age, gender, comorbidities, and respiratory symptom. Similarly, the biological analysis found significant differences for the neutrophil count, lymphocyte count, eosinophil count, and CRP level. However, according to ROC curves of these laboratory biomarkers, the AUC of CRP at 0.872 was significantly higher than all other parameters. Further, CRP was independently associated with severity of COVID-19 disease (OR = 1.11, 95% IC (1.01-1.22) and or = 1.13, 95% IC (1.04-1.23)). CONCLUSIONS: This study found that the CRP level at admission represent a simple and independent factor that can be useful for early detection of severity during COVID-19 and the easy guidance of primary care.