Neuroimaging Features in Eclamptic Encephalopathy and their Correlation with Clinical and Laboratory Parameters: a
Kirtirekha Mohapatra1, Nahida Nigar Sultana1, Sasmita Behuria1
1Department of Obstetrics and Gynaecology, Department of Radio Diagnosis, S.C.B. Medical College, Cuttack, Odisha 753007 India.
Background:
New onset seizures in pregnancy and postpartum are considered eclampsia as the default diagnosis. Other causes, such as intracranial haemorrhage, subarachnoid haemorrhage, cerebral venous sinus thrombosis or acute ischaemic stroke, have a similar mode of presentation, but need prompt diagnosis and institution of specific measures to decrease the risk of mortality and morbidity. Neuroimaging plays an important role in providing a specific diagnosis and hence aids in proper management. We hypothesised to find any correlation of laboratory parameters with neuroimaging abnormalities along with providing an insight to specific diagnoses in patients of new onset seizures in pregnancy with a presumptive diagnosis of eclampsia.
Methods:
This was a hospital-based descriptive observational study conducted in SCB Medical College, Odisha, in the year 2018-2020 with a total of 70 clinically confirmed cases of eclampsia. They were subjected to cranial MR imaging along with routine investigations with no change in the emergency treatment protocol followed in the department. Data was compiled using Microsoft Excel 2016 and IBM SPSS statistics for Windows, version 27, and comparisons among MRI normal and abnormal group were stated.
Results:
58 (82.86%) were MR imaging positive or abnormal, while 12 (17.14%) were MR imaging negative or normal. Cortical venous thrombosis without infarction was diagnosed in 25 (43.1%) patients, 6 (10.34%) had infarction, posterior reversible encephalopathy syndrome was seen in 19 (32.76%) cases, and 8 (13.79%) had hypertensive leukoencephalopathy. The mean gestational age at the time of presentation was significantly lower in the MRI abnormal group (p = 0.012). The AST and LDH values were found to be significantly higher in the MRI abnormal group, with p = 0.02 and 0.01, respectively.
Conclusion:
Patients with imaging abnormalities have a severe form of disease in eclampsia. Neuroimaging in provisionally diagnosed cases of eclampsia will modify the management and hence prognosis in these patients.
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