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1.
J Indian Med Assoc ; 2022 Nov; 120(11): 29-36
Article | IMSEAR | ID: sea-216641

ABSTRACT

Mucormycosis has emerged as an important fungal infection with high associated mortality rates. Mucormycosis causes devastating angio-invasive fungal infections, primarily in patients with underlying risk factors. The prevalence of mortality associated with invasive Mucormycosis is high (>30-50%), with 90% mortality contributed by disseminated disease. Sudden rise in Mucormycosis cases during the COVID-19 pandemic came as a surprise to all. Lowered immunity due to COVID and associated conditions like diabetes, made the population susceptible to this dreaded disease. This disease led to both increase in morbidity and mortality among the general population. Aim of the Study : To interpret in detail the causes of mortality of patients presenting with COVID Associated Mucormycosis (CAM-19) at AIIMS Patna between May-November, 2021. Materials and Methods : An observational study of all patients who were treated for mucormycosis during the period of May 2021-Nov 2021 in ENT Department, AIIMS, Patna. During the period of study, 219 patients of RhinoOrbital-Cerebral Mucormycosis (ROCM) were admitted for treatment. Five patients had gone on Leave Against Medical Advice (LAMA). So, 214 patients were included in the study. Results : Among the 214 patients, 165 patients were treated surgically through both endoscopic and open approaches along with antifungal therapy management. 41 patients died during the hospital course of the treatment. The mortality rate of ROCM stood at 19.15% in our series. Pulmonary Mucormycosis had high mortality (100%). Diabetes is the most common risk factor. Multiple co-morbidities and extensive intracranial involvement had a strong association with mortality. Conclusion : The advanced stage of ROCM was associated with more deaths. Our series mortality rate of 19.15% is lower than most of the other documented mortality rates. Our results support that early aggressive surgical approach, antifungal therapy and multidisciplinary approach has reduced the mortality

2.
Indian J Ophthalmol ; 2022 Jun; 70(6): 2163-2168
Article | IMSEAR | ID: sea-224374

ABSTRACT

Purpose: An unprecedented surge has been noted in rhino?orbital?Cerebral mucormycosis (ROCM) in times of current COVID?19 pandemic. The present prospective study aims to evaluate clinico?epidemiological profile, risk factors, management, and outcome of the cases of ROCM that presented to our tertiary care center during the study period from April to June 2021. Methods: All patients were subjected to complete history taking, ophthalmological examination, and imaging studies. The patients were staged and were treated with intravenous liposomal amphotericin B (AMB) and sino?nasal debridement of local necrotic tissue. Transcutaneous retrobulbar AMB (TRAMB), orbital decompression, and exenteration were instituted as indicated. All patients were followed up for a minimum of 6 months before arriving at the final outcome. Statistical analysis was performed. Results: A total of 49 patients presented during the study period, with a mean age of 42.2 years. The major risk factors included uncontrolled diabetes (89.8%), COVID?19 positivity (51.02%), and concurrent steroid use (38.77%). The most common presenting symptom was facial pain/swelling (43.65%), while the most common presenting sign was deterioration in vision (75.51%). Intravenous liposomal AMB was given to all patients along with sino?nasal debridement (85.71%), TRAMB (57.14%), orbital decompression (14.28%), and exenteration (12.24%). Overall, mortality at 6 months was 22.45% (11 patients). Age more than 60 years, intracranial extension, and HbA1c of more than 8.0% were observed to be statistically significant indicators of mortality. Conclusion: Early suspicion and timely diagnosis of mucormycosis at rhino?orbital stage is warranted in order to salvage life as well as visual function. TRAMB may prove as potentially favorable treatment modality in cases with limited orbital involvement.

3.
J Indian Med Assoc ; 2022 May; 120(5): 11-15
Article | IMSEAR | ID: sea-216536

ABSTRACT

Background : Mucormycosis is a life threatening fungal disease caused by the filamentous fungi mucormycetes. Though a known entity for decades, it began to manifest in an unprecedented manner in the COVID scenario specially with the second wave in India. The objectives were to describe the demographic characteristics, clinical presentations, risk factors, therapy and in-hospital mortality of patients with Mucormycosis. Material and Methods : We conducted a retrospective observational study for a period of six months from March 2021 to August 2021. The data was collected for cases of mucormycosis from multiple centres all over West Bengal and analysed. All consecutive individuals with confirmed mucormycosis were enrolled in this study. The data documenting demographic particulars, presentation, predisposing factors and comorbiditieswere recorded in a pre validated case report form Details of investigation recording site and extent of disease, therapeutic intervention and outcome was mentioned . Statistical analysis was done using SPSS 21.0 for MS-Windows. Results : The total number of cases from March to August 2021 was 263 . There were 171 males and 92 females and the mean age of occurrence was 50.8±0.4 years .In West Bengal clusters of cases were being reported most commonly from the districts of North 24 Parganas, Kolkata, Jalpaiguri, Darjeeling and Hooghly. Some cases admitted here hailed from outside states like Bihar, Jharkhand, Odisha and Assam. The majority of the cases 74.22% (196)were COVID Associated Mucormycosis (CAM) while only 25.78% were non COVID associated. Diabetes mellitus was associated in 78.7 % and history of prolonged steroid therapy in 57.4% of cases. We encountered rhino orbital mucormycosis in 99.24 % of cases and cerebral involvement in 47.3%. They were treated with Amphotericin B deoxycholate along with endoscopic debridement. The most common side effects of Amphotericin B Deoxycholate were hypokalemia (93%), hypomagnesemia (32%) and AKI (74%) of the cases .The number of patients discharged was 16.7% and 10 left against medical advice (LAMA) . In hospital deaths were recorded to be 26.7%. Cause of death was commonly -AKI, septic shock and multiorgan failure . Conclusion : Prevention is better than cure of this devastating disease which is difficult todiagnose and treat .Awareness about mucormycosis and careful clinical evaluation of post-COVID patients is mandatory in this era in order to rapidly diagnose and treat mucormycosis

4.
Indian J Ophthalmol ; 2022 May; 70(5): 1773-1779
Article | IMSEAR | ID: sea-224319

ABSTRACT

Purpose: COVID?19?associated mucormycosis (CAM) was a serious public health problem during the second wave of COVID?19 in India. We planned to analyze public perceptions by sentiment analysis of Twitter data regarding CAM. Methods: In this observational study, the application programming interface (API) provided by the Twitter platform was used for extracting real?time conversations by using keywords related to mucormycosis (colloquially known as “black fungus”), from May 3 to August 29, 2021. Lexicon?based sentiment analysis of the tweets was done using the Vader sentiment analysis tool. To identify the overall sentiment of a user on any given topic, an algorithm to label a user “k” based on their sentiments was used. Results: A total of 4,01,037 tweets were collected between May 3 and August 29, 2021, and the peak frequency of 1,60,000 tweets was observed from May 17 to May 23, 2021. Positive sentiment tweets constituted a larger share as compared to negative sentiment tweets, with weekly variations. A temporal analysis of the demand for utilities showed that the demand was high in the initial period but decreased with time, which was associated with the availability of resources. Conclusion: Sentiment analysis using Twitter data revealed that social media platforms are gaining popularity to express one’s emotions during the ongoing COVID?19 pandemic. In our study, time?based assessment of tweets showed a reduction over time in the frequency of negative sentiment tweets. The polarization in the retweet network of users, based on sentiment polarity, showed that the users were well connected, highlighting the fact that such issues bond our society rather than segregating it.

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