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UNKNOWN RESPONDENTS AND NEUROLOGICAL ACCIDENT ASSISTANCE IN A PAKISTANI METROPOLIS: DECADES OF EXPERIENCE

Parnia Ansari, Dr. Umar Javaid Sandhu, Dr Maria Javaid

Objectives: Unpredictable cloud patients without near and far, family or other distinct nuances of verification address a fascinating issue when it comes to neurological emergency organizations making countries like India in an environment of real, empathetic and treatment-oriented problems. These patients speak with a symptomatology and the board challenges the treatment of specialists and staff. There is not enough data on these patients. The aim of this study was to know the clinical, sociodemographic and investigative profile of cloud patients. Materials and Methods: We reviewed the chart report of each individual "dark" rest from September 2017 to August 2018 that was delivered under the Neurological Emergency Service at Jinnah Hospital Lahore. Clinical and sociodemographic characteristics and clinical aftereffects of the model were investigated. Results: A total of 161 cloud patients were enrolled in the last 10 years. Of these, 139 (87.8%) were people with a mean time of 46.2 ± 16.9 years and 95 (64%) with a development time of >42 years. Among them were 149 (95.3%) from the district, 128 (82.7%) were brought by the police and 78 (49.7%) were registered as medical-legal cases. Of these, 4 (3%) individual patients had a regular sensorium, while 101 (66.9%) lost mindfulness. Forty-three (28.3%) cloud patients had a seizure problem, 38 (25.6%) had metabolic encephalopathy, 28 (17.2%) had a stroke, 10 (6%) had nonresolution, and 18 (12.4%) had headache. Angry liver borders were observed in 67 (45%), kidney failure in 37 (24.5%), dyselectrolysis in 42 (27.8%), and bizarre cerebral imaging in 95 (62.9%) patients. In addition, there were 14 (9.3%) passes. Conclusion: Our disclosures show seizures, metabolic causes and neuroinfectious Were the basic goals behind the affirmation of cloud patients to neuromere organizations. This history of Pakistani investigative data shows the essential objectives of the assertion of cloud patients in sensory. This model can be important for the handling of the technology of social protection providers in Pakistan.

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