Covid-19 and diabetes in primary care - How do hematological parameters present in this cohort?

Objectives: Changes in hematological parameters are becoming evident as important early markers of COVID-19. Type 2 Diabetes Mellitus (T2DM) has been shown to be associated with increased severity of COVID-19. In this study, we aim to explore the various hematological variables in COVID-19 positive patients with T2DM, so as to act early and improve patient outcomes.Methods: Medical e-records of seventy adult patients with T2DM who were COVID-19 positive have been analyzed in this retrospective cohort study. Demographic, clinical and laboratory parameters for these patients were examined.Results: Of the seventy patients with T2DM, 48.88% had poorly controlled diabetes. 70.69% were pyrexial, 56.25% were tachycardic and 38.58% were asymptomatic on presentation. Amongst the hematological parameters, anemia was seen in 10% of males and 15.38% of females. 20% had a high red-blood-cell-distribution-width (RDW). 7.27% had thrombocytosis and 3.64% had thrombocytopenia. 73.3% had a high platelet-distribution-width (PDW) and 44.44% had an increased mean-platelet-volume (MPV). 16.36% were neutropenic and 16.67% had lymphocytopenia.Conclusion: Diabetic COVID-19 positive patients have been shown to have prominent manifestations of the hemopoietic-system with varied hematological profiles. Recognizing the implications of these variables early in primary-care, can help clinicians aid management decisions and dictate early referral to secondary-care services, to help improve prognosis.

Baseline clinical characteristics and prognostic factors in hospitalized COVID-19 patients aged ≤ 65 years: A retrospective observational study.

BACKGROUND: Individual differences in susceptibility to SARS-CoV-2 infection, symptomatology and clinical manifestation of COVID-19 have thus far been observed but little is known about the prognostic factors of young patients. METHODS: A retrospective observational study was conducted on 171 patients aged ≤ 65 years hospitalized in Alessandria's Hospital from 1st March to 30th April 2020 with laboratory confirmed COVID-19. Epidemiological data, symptoms at onset, clinical manifestations, Charlson Comorbidity Index, laboratory parameters, radiological findings and complications were considered. Patients were divided into two groups on the basis of COVID-19 severity. Multivariable logistic regression analysis was used to establish factors associated with the development of a moderate or severe disease. FINDINGS: A total of 171 patients (89 with mild/moderate disease, 82 with severe/critical disease), of which 61% males and a mean age (± SD) of 53.6 (± 9.7) were included. The multivariable logistic model identified age (50-65 vs 18-49; OR = 3.23 CI95% 1.42-7.37), platelet count (per 100 units of increase OR = 0.61 CI95% 0.42-0.89), c-reactive protein (CPR) (per unit of increase OR = 1.12 CI95% 1.06-1.20) as risk factors for severe or critical disease. The multivariable logistic model showed a good discriminating capacity with a C-index value of 0.76. INTERPRETATION: Patients aged ≥ 50 years with low platelet count and high CRP are more likely to develop severe or critical illness. These findings might contribute to improved clinical management.