In its wake, the COVID-19 pandemic has ushered in a surge in the number of cases of mucormycosis. Most cases are temporally linked to COVID-19; hence, the entity is described as COVID-19-associated mucormycosis (CAM). The present systematic review was undertaken to provide an up-to-date summary of the hitherto available literature on CAM. PubMed, Scopus and Google Scholar databases were systematically searched using appropriate keywords till 14 May 2021, to identify case reports/case series pertaining to mucormycosis in patients with COVID-19. Relevant data extracted included demographic characteristics, comorbidity profile, clinical category of mucormycosis, glucocorticoid use, treatment offered and patient outcome. We identified 30 case reports/case series, pooling data retrieved from 99 patients with CAM. Most cases were reported from India (72%). The majority of the patients was male (78%) and had diabetes mellitus (85%). A prior history of COVID-19 was present in 37% patients with mucormycosis developing after an initial recovery. The median time interval between COVID-19 diagnosis and the first evidence of mucormycosis infection or CAM diagnosiswas 15 days. Glucocorticoid use was reported in 85% of cases. Rhino-orbital mucormycosis was most common (42%), followed by rhino-orbito-cerebral mucormycosis (24%).Pulmonary mucormycosis was observed in 10 patients (10%). The mortality rate was 34%; the use of adjunct surgery, which was undertaken in 81% of patients, was associated with better clinical outcomes (p < .001). In conclusion, CAM is an emerging problem necessitating increased vigilance in COVID-19 patients, even those who have recovered.CAM portends a poor prognosis and warrants early diagnosis and treatment.

SummaryElectrophysiological monitoring of selected neural pathways of the brain, brainstem, spinal cord and peripheral nervous system has become mandatory in some surgery of the nervous system where preventable neural injury can occur. Evoked potentials are relatively simple methods of testing the integrity of various aspects of the nervous system. This review covers the variety of evoked potentials that can be monitored and outlines the principles of their measurement. Their use in specific situations and how factors such as anaesthesia might affect them is presented.

Background: The current COVID-19 pandemic has implications on the morbidities of orthopedic patients due to lack of routine follow-ups, and inpatient and outpatient-based interventions. Telemedicine has recently emerged as an alternative for healthcare delivery to the patients and providing them with important information about orthopedic self-care and medications that can be followed without a hospital visit. However, due to lack of physical assessment, telemedicine is bound to have some limitations as well. The aim of this study is to analyze the effectiveness of proactive telemedicine in maintaining follow-up of orthopedic patients, and their satisfaction with telemedicine as an alternative mode of treatment delivery. Methods: This one-month cross-sectional study enrolled the follow-up patients that visited the orthopedic outpatient-department in February 2020. The patients were sequentially called according to the order of their registration, on a daily basis. Consenting patients were provided with telemedicine-based consultations, and those requiring physical evaluation were called for outpatient visits after documenting the valid reasons. The response-rates and the volume of patients requiring physical visits were measured for different diagnosis-based groups. Patients were asked to complete a questionnaire that included overall patient satisfaction with telemedicine, its effectiveness, and ease in following the telemedicinebased treatment. Results: The response rate to telemedicine was 88.67%. Among the patients availing telemedicine, 71.43% were managed without needing physical visits to the outpatient-department. The need for physical examination and failed patient-doctor communication were the most common reasons for advising physical outpatient visits. The overall satisfaction-rate to telemedicine was 92%, and only 7.2% of patients had difficulty in understanding or following telemedicine-based advice. Conclusions: Telemedicine can effectively reduce the need for physical visits to outpatient-departments for follow up of orthopedic patients. The response-rate and overall patient-satisfaction rates to telemedicine are high. Further efforts in expanding the use of telemedicine and addressing its limitations, especially those related to the failed communications, are needed to develop it as an alternative to physical orthopedic consultations in the current situation.

BackgroundHigh out-of-pocket-expenditure (OOPE) deters families from seeking skilled/institutional care. ‘Janani Suraksha Yojana (JSY), a conditional cash transfer programme launched in 2005 to mitigate OOPE and to promote institutional deliveries among the poor, is part of Government of India’s efforts to achieve Millennium Development Goals (MDGs) 4 and 5. The objective of this study is to estimate variations in OOPE for normal/caesarean-section deliveries, JSY-programme use and delivery associated borrowings - by states and union territories, and socio-demographic profiling of families, in India.MethodsSecondary analysis of data from the District Level Household Survey (DLHS-3), 2007–08. Mean and median OOPE, percentage use of JSY and percentage of families needing to borrow money to pay for delivery associated expenditure was estimated for institutional and home deliveries.ResultsHalf (52%) of all deliveries in India occurred at home in 2007/08. OOPE for women having institutional deliveries remained high, with considerable variation between states and union territories. Mean OOPE (SD) of a normal delivery in public and private institution respectively in India were Rs. 1,624 and Rs. 4,458 and for a caesarean-section it was Rs. 5,935 and Rs. 14,276 respectively. There was considerable state-level variation in use of the JSY programme for normal deliveries (15% nationally; ranging from 0% in Goa to 43% in Madhya Pradesh) and the percentage of families having to borrow money to pay for a caesarean-section in a private institution (47% nationally; ranging from 7% in Goa to 69% in Bihar). Increased literacy and wealth were associated with a higher likelihood of an institutional delivery, higher OOPE but no major variations in use of the JSY.ConclusionsOur study highlights the ongoing high OOPE and impoverishing impact of institutional care for deliveries in India. Supporting families in financial planning for maternity care, additional investment in the JSY programme and strengthening state level planning are required to increase the proportion of institutional deliveries.

In a randomized double-blind study, the effects of clonidine premedication as a sedative, anxiolytic, analgesic and oculohypotensive agent were studied in 100 elderly patients (62 to 65 +/- 10 years, ASA grade I-II) undergoing elective intraocular surgery under local anaesthesia. The control group (Group A, n = 50) received oral diazepam 0.15 mg/kg 120 min before surgery and Group B (n = 50) received oral clonidine 300 micrograms 120 min before surgery. Two hours after the premedication, there was significantly more sedation (P less than 0.05) and less subjective anxiety (P less than 0.05) in the clonidine group than in the control group. There was a significant fall in intraocular pressure (IOP) from 20 +/- 0.5 to 13 +/- 0.5 mmHg (P less than 0.05) and significant reduction in systolic and diastolic blood pressure (BP) and heart rate (HR) (P less than 0.05) in the clonidine group as compared to the control group. Perioperatively, significantly more supplementation with i.v. diazepam was given in the control group than in the clonidine group (P less than 0.01). The incidence of intra-operative hypertension (P less than 0.01) and tachycardia (P less than 0.05) was significantly greater in the control group than in the clonidine group. A significantly larger number of patients in the clonidine group scored a Post-Anaesthesia Recovery (PAR) score of 10 as compared to the control group (P less than 0.01). There was no statistical difference in the postoperative Visual Analogue Scale (VAS) scores for pain, number of analgesic requests and emesis.(ABSTRACT TRUNCATED AT 250 WORDS)

The present cases were reported to highlight that in a select group of patients tubeless PCNL under regional block is technically feasible and viable option. Regional block has the advantage of avoidance of general anesthesia and anaphylaxis due to use of multiple drugs. Tubeless PCNL has the advantage of avoidance of nephrostomy tube related postoperative pain discomfort and urosepsis. This synergistically (spinal + tubeless PCNL) speeds up the recovery, shortens the length of hospitalization and the analgesic requirement.

Second wave of COVID 19 pandemic in India came with unexpected quick speed and intensity, creating an acute shortage of beds, ventilators, and oxygen at the peak of occurrence. This may have been partly caused by emergence of new variant delta. Clinical experience with the cases admitted to hospitals suggested that it is not merely a steep rise in cases but also possibly the case profile is different. This study was taken up to investigate the differentials in the characteristics of the cases admitted in the second wave versus those admitted in the first wave. Records of a total of 14398 cases admitted in the first wave (2020) to our network of hospitals in north India and 5454 cases admitted in the second wave (2021) were retrieved, making it the largest study of this kind in India. Their demographic profile, clinical features, management, and outcome was studied. Age sex distribution of the cases in the second wave was not much different from those admitted in the first wave but the patients with comorbidities and those with greater severity had larger share. Level of inflammatory markers was more adverse. More patients needed oxygen and invasive ventilation. ICU admission rate remained nearly the same. On the positive side, readmissions were lower, and the duration of hospitalization was slightly less. Usage of drugs like remdesivir and IVIG was higher while that of favipiravir and tocilizumab was lower. Steroid and anticoagulant use remained high and almost same during the two waves. More patients had secondary bacterial and fungal infections in Wave 2. Mortality increased by almost 40% in Wave 2, particularly in the younger patients of age less than 45 years. Higher mortality was observed in those admitted in wards, ICU, with or without ventilator support and those who received convalescent plasma. No significant demographic differences in the cases in these two waves, indicates the role of other factors such as delta variant and late admissions in higher severity and more deaths. Comorbidity and higher secondary bacterial and fungal infections may have contributed to increased mortality.

Background Time-series forecasting has a critical role during pandemics as it provides essential information that can lead to abstaining from the spread of the disease. The novel coronavirus disease, COVID-19, is spreading rapidly all over the world. The countries with dense populations, in particular, such as India, await imminent risk in tackling the epidemic. Different forecasting models are being used to predict future cases of COVID-19. The predicament for most of them is that they are not able to capture both the linear and nonlinear features of the data solely. Methods We propose an ensemble model integrating an autoregressive integrated moving average model (ARIMA) and a nonlinear autoregressive neural network (NAR). ARIMA models are used to extract the linear correlations and the NAR neural network for modeling the residuals of ARIMA containing nonlinear components of the data. Comparison: Single ARIMA model, ARIMA-NAR model and few other existing models which have been applied on the COVID-19 data in different countries are compared based on performance evaluation parameters. Result The hybrid combination displayed significant reduction in RMSE(16.23%), MAE(37.89%) and MAPE (39.53%) values when compared with single ARIMA model for daily observed cases. Similar results with reduced error percentages were found for daily reported deaths and cases of recovery as well. RMSE value of our hybrid model was lesser in comparison to other models used for forecasting COVID-19 in different countries. Conclusion Results suggested the effectiveness of the new hybrid model over a single ARIMA model in capturing the linear as well as nonlinear patterns of the COVID-19 data.