Background: Meningitis is a life threatening infection with incidences increasing in adults and children. CSF analysis is a key tool to diagnose and differentiate between bacterial, viral, tubercular and fungal meningitis. Identifying the causative bacterial organisms is important to guide antimicrobial therapy. Aims & objectives: The present study was undertaken to analyze CSF parameters and to determine causative organisms of meningeal infection and also to find out their antibiotic susceptibility pattern. Settings and design: Cross sectional study. Methods and Materials: The study includes 100 clinically suspected cases of meningitis. Pathological and Biochemical analysis was done. Bacterial pathogens were identified by conventional methods of culture with sensitivity pattern. Results: Out of 100 cases, 30 cases showed total count >1000 cells/ul with neutrophil predominance. 25 cases shows culture growth, with Escherichia coli as predominant organism isolated followed by Streptococcus pneumonia. Imipenem showed 100% sensitivity followed by Pipercillin/Tazobactum 90%. Conclusion: Our results of CSF fluid analysis revealed a total count of >1000 cells/ul with neutrophil predominance. Escherichia coli was the predominant organism isolated. Imipenem showed 100% sensitivity.
o evaluate the changes in PIH (Pregnancy Induced Hypertension) by using haematologicaland coagulation parameters like platelet count, MPV, PDW, PT and APTT. Materials and methods: Atotal of 150 cases comprising 75 control groups and 75 cases group (pregnancy-inducedhypertension) were enrolled in the study. Hematological parameters like platelet count, MPV, PDWand coagulation parameters like PT and APTT were studied in these patients. Data entry was done inan excel spreadsheet and by using SPSS (version -20). Results: The hematological parameter -Platelet count was markedly reduced in patients with preeclampsia compared to normal pregnantpatients. MPV, PDW, PT and APTT were increased which is statistically significant. Conclusion: Theabnormalities about hematological and coagulation parameters in preeclampsia are the prognosticmarkers used as an additional diagnostic criterion for preeclampsia in rural hospitals.
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