Background:The accurate and efficient diagnosis at the early stages of neurological disorders is the key feature for effective treatment and productive research for finding out new ways to combat diseases. It is essentially true for neurological disorders where there is no effective cure, but only treatments are available for slowing down the procedure. Neurological disorders reveal only non-specific clinical symptoms of mental changes/decline starting from a few days to decades after initiation which goes very challenging to differentiate even at later stages when the disorder becomes way aggressive. Despite the fact of having great need, the current availability of diagnostic tests is unable to diagnose different forms of neurological disorders. Aim: The aim of this review is to explore the application of Raman spectroscopy (RS) and mass spectrometry (MS) for the detection of changes in the biochemical composition of cerebrospinal fluid (CSF), blood serum, urine, and saliva. The approach will be based on probing biochemical composition of a biofluid totally using the spectroscopy analysis with advanced statistics. The power of high differentiation method will promote the translation of RS from mere a laboratory technique to clinically useful tool. Demonstration of biochemical information derived from RS from CSF, blood, saliva, and urine that will yield accurate and selective detection of neurological disorders. It will also provide diagnostic and prognostic indicators and will also play a significant role in the development of personalized medicine. Conclusion: Combination of RS and other techniques such as MS and advanced molecular techniques will allow differentiating CSF, blood serum, saliva, and urine samples of common neurological disorders from normal control patients with sensitivity and specificity close to 95%. Clinical Significance: The outcome of the research methods explained will demonstrate an accurate discriminative method which will be based on RS for the detection of neurological disorders. The findings of research in the review will furthermore confirm that if the biomedical application of the methods will either allow to distinguish and detect biomarkers of neurological disorders from biofluids and is it a viable clinical tool that can be used for an accurate diagnosis through a simple test.
Objective: The goal of the study was to report clinical characteristics, contributing variables and outcome of patients with coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM). Study Design: Observational/descriptive study Place and Duration: Multan Medical and Dental College and Bakhtawar Amin Medical and Dental College. Duration Jan 2021 to July 2021. Methods: Total 90 patients of both genders had symptoms of mucormycosis during pandemic corona virus disease were presented in this study. Patients were aged between 22-80 years. Patients detailed demographics age, sex, body mass index and duration of disease were calculated after taking informed written consent. Patients were admitted in COVID-19 emergency ward and underwent for RT-PCR and MRI. Comorbidities, symptoms and cause of mucormycosis were assessed. At the end of study mortality rate, hospital stay and ICU admission were calculated. The SPSS 20.0 version was used to examine the entire set of data. Results: Majority of the patients 65 (72.2%) were males and the rest were females 25 (27.8%). Mean age of the patients were 51.42±12.64 years with mean BMI 28.44±8.72 kg/m2. 55 (61.1%) cases had COVID-19 and 35 (38.9%) were recovered from corona virus in this study. Mean duration of mucormycosis was 18.08±7.11 days. Most common symptoms of disease were eye pain/swollen of eyes, nasal stiffness, headache and blurring of vision. Rhino-orbital mucormycosis found in 63 (70%) cases. Majority of the cases were from urban areas 60 (66.7%) and 38 (42.2%) were literate. Diabetes mellitus was the most common comorbidity found in 70 (77.8%). Frequent consumption of the steroids during pandemic disease was the most common cause found in 59 (65.6%) cases. Mortality rate was 32 (35.6%) at the end of study. Conclusion: In this study we found that the complication of COVID-19 in high-risk patients can be mucormycosis. Poor diabetes mellitus is a significant CAM predisposing factor and frequent usage of excess steroids were the most common cause. Systematic surveillance for diabetes mellitus control and to educate the doctors are indicated for early detection of CAM. Keywords: COVID-19, Mucormycosis, Diabetes Mellitus, Steroids, Mortality
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