ABSTRACT
Background: Dengue can result in high mortality. Several studies have shown an association of blood groups with the severity of dengue. In our study we attempt to associate the prevalence of blood groups with the known hematological prognosticators and thus derive its impact on the severity of dengue. We aim to study the patterns and prevalence of different ABO blood groups in dengue fever.Methods: A total of 100 serologically proven dengue cases over a month’s period in November 2016 were recruited for our study. Their relevant hematological data (obtained by automated haematology analyser and peripheral smears) and blood grouping results were recorded and analyzed.Results: The age range was 5 months to 65 years with a slight male predominance. Analysis of the blood group patterns showed prevalence of O group (42%) followed by A and B group (27% each). B group was more prevalent in children (34%) and females (31%) with dengue.The patients with B group showed increased derangement in hematological parameters namely higher number of cases with B group showed rise in haematocrit (59%), an increased number of cases with leucopenia (56%), higher proportion of cases with lymphocytosis (45%) and severe thrombocytopenia (74%) when compared to the other blood groups.Conclusions: Our study shows that blood groups can impact severity of dengue and that B group is a risk factor for severity hence, such individuals warrant close supervision especially in the presence of other risk factors.
ABSTRACT
Background: Dengue can occur as epidemics in India. Early diagnosis reduces mortality. Differential white cell count can aid in diagnosing and prognosticating Dengue in resource limited areas. Aim and objectives of this study were to assess patterns and utility of Differential counts in Dengue.Methods: A total of 132 serologically positive Dengue cases were analysed over the month of November 2016. Hematology data obtained from analysers and Leishman smears were tabulated and analysed.Results: The study showed lymphocytosis as the predominant pattern (65%) followed by neutropenia (30%), neutrophilia (11%), eosinophilia (5%), monocytosis (5%) and basophilia (4%). Atypical lymphocytosis ? 15% were noted in 65% of the cases with 83% showing Plasmacytoid lymphocytes, 8% apoptotic lymphocytes and 43% showed other atypical lymphocytes. Also, 52% of lymphocytosis and 33% of neutrophilia cases showed severe thrombocytopenia (? 0.5 lakhs per cu mm). Lymphocytosis was noted to be an early event but was established in later stages as seen with serology pattern association, 28% associated with NS1 antigen test (non-structural protein 1) and 42% with antibody pattern. However, neutrophilia with 60% of cases seen in antibody pattern was a late event. Plasmacytoid lymphocytosis was noted uniformly through all serology patterns in contrast with other atypical lymphocytosis which was seen mostly (48%) in antibody pattern. Apoptotic lymphocytosis was also a late event associated mainly with antibody pattern (55%).Conclusions: The Differential white cell count can be a useful supplementary test along with serology in resource limited peripheral areas. It additionally serves to drastically reduce morbidity and mortality.