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| Year:
2022 |
Month:
July
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Volume:
11 |
Issue:
3 |
Page:
PO01 - PO04 |
Clinicopathological Spectrum of Thrombocytopenia in Sangli District of Western Maharashtra- A Cross-sectional Study
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Correspondence
Sheetal Maheshkumar Sale, Isha Bansal, Vaibhav Pandurang Mane, Dhirajkumar Arun Mane,
Sheetal Maheshkumar Sale,
12471, Sri Krishna Bunglow, Mali Plot, South Shivajinagar,
Sangli, Maharashtra-416416, Sangli, Maharashtra, India.
E-mail: drshitalsale@yahoo.com :
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Introduction: Thrombocytopenia is now a day’s common haematological finding with various aetiologies is the situation where, there is low blood platelet count. Aetiology for thrombocytopenia is multi factorial which makes the management challenging.
Aim: To study the clinicopathological spectrum of thrombocytopenia in population of Sangli district, Maharashtra, India.
Materials and Methods: A cross-sectional study was conducted in a tertiary care centre in Sangli district, Maharashtra, India, for a period of two years from July 2019 to June 2021. It included 920 patients with platelet count<1.5 lakh/mm3, irrespective of their age group. The clinical profile laboratory data and complications of patients with a platelet count of less than 1,50,000/mm3 were analysed and tabulated. All the collected data was tabulated in MS-Excel and analysed in Statistical Package for the Social Sciences (SPSS) version 20.0 where frequency distribution was used test study variables.
Results: The total sample size was 920 with 546 (59.35%) males and 374 (40.65%) females. Out of 920 patients, majority 392 (42.61%) were diagnosed with infections that lead to thrombocytopenia, where dengue was identified as the most common cause having 173 (18.80%) cases followed by other infection and other diseases.
Conclusion: Dengue was observed to be the most common infectious disease causing thrombocytopenia in the present study. The present study might help in categorising the level of infection i.e., mild or severe thrombocytopenia. Early signs of bleeding could stop further complications and transformation into high risk towards different morbidities, respectively.
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