Covid-19 and diabetes in primary care – How do hematological parameters present in this cohort?. Issue 3 (4th May 2021)

• Record Type: Journal Article
• Authors: Varma, Amit; Dergaa, Ismail; Mohammed, Abdul Rafi; Abubaker, Muneer; Al Naama, Abdulla; Mohammed, Shameer; Rafique, Mohammed Arshad; Manu, Lelna; Vedasalam, Sakthikumar; Parveze, Parveze; Hammouda, Omar; Ammar, Achraf
• Is Part Of: Expert review of endocrinology & metabolism. Volume 16:Issue 3(2021)
• Page Start: 147
• Page End: 153
• Publication Date: 2021-05-04
• Subjects: Hematological parameters -- MPV -- PDW -- RDW -- T2DM; Endocrinology -- Periodicals; Metabolism -- Periodicals; 616.4
• DOI: 10.1080/17446651.2021.1909472
• Languages: English
• ISSNs: 1744-6651

Abstract

ABSTRACT: 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.