A closer look at the link between cycle threshold, clinical features and biomarkers: An observational study in COVID-19 patients.

Background: Symptoms for severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) appear 2-3 days after exposure to the virus. Being a virus, detection is primarily by polymerase chain reaction as this offers superior sensitivity and specificity. There was a misconception that patients with low cycle threshold (Ct) have severe coronavirus disease (COVID), and for individuals with higher Ct, it is the other way around. The prognosis for COVID was derived from various biomarkers and physicians heavily relied on them. Materials and Methods: A cross-sectional study spanning a duration of 2 years was conducted at a tertiary care centre in western India. A total of 201 individuals were included and the correlation between Ct, clinical features and biomarkers was studied. Results: In the E-gene, 43.28% had lower Ct values and 40.79% had low Ct values in the RdRp gene. 50% of all patients had diabetes, with 60% being between the ages of 61 and 80. 54.1% of hypertension patients belonged to ages between 61 and 80. 90.54% of COVID-positive individuals had lactose dehydrogenase levels ranging from 440 to 760. 79% of patients had a procalcitonin value of more than one but less than six. 79.1% of patients had an erythrocyte sedimentation rate between 36 and 90. Conclusion: Ct value though has a research value; it is a poor prognostic marker when compared to the various biomarkers that have been studied earlier. We cannot conclusively state that all our findings are accurate due to a lack of data but further research into the prognostic value of Ct should be conducted which will help in the ongoing scenario.

Seroprevalence of SARS-CoV-2 IgG in blood donors in a teaching institute from Western part of Maharashtra.

Introduction: COVID-19 is a disease caused by the severe acute respiratory syndrome coronavirus 2 that has appeared as a global pandemic in recent times. Currently, the transmission rate has slowed down significantly, but the definite pathological reason behind this is still unknown. Therefore, the prevalence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody must be studied to establish the relation between the rate of transmission and antibody presence. Materials and Methods: A clinical assessment was performed to evaluate the seroprevalence of SARS-CoV-2 Immunoglobulin G (IgG) antibodies among 299 healthy volunteers in the period of February to May 2021. Serum samples were analyzed using chemiluminescent microparticle immunoassay (CMIA) technology to detect the presence of IgG antibodies. Result: It was observed that 21% of the participants were seropositive, and 78% of the population was seronegative across the different genders. This confirmed that the generation of antibodies is independent of gender. Simultaneously, a t-test was performed that further suggested no statistical correlation between gender and seroprevalence. Moreover, a comprehensive analysis was performed to establish the relation between age and blood group with the seroprevalence. However, there was no statistical relationship found among these parameters. Conclusion: This study assisted in examining the underlying causes of high or low seroprevalence among healthy volunteers.

Development of a machine learning model to predict risk of development of COVID-19-associated mucormycosis.

Aim: The study aimed to identify quantitative parameters that increase the risk of rhino-orbito-cerebral mucormycosis, and subsequently developed a machine learning model that can anticipate susceptibility to developing this condition. Methods: Clinicopathological data from 124 patients were used to quantify their association with COVID-19-associated mucormycosis (CAM) and subsequently develop a machine learning model to predict its likelihood. Results: Diabetes mellitus, noninvasive ventilation and hypertension were found to have statistically significant associations with radiologically confirmed CAM cases. Conclusion: Machine learning models can be used to accurately predict the likelihood of development of CAM, and this methodology can be used in creating prediction algorithms of a wide variety of infections and complications.

Fungal infections caused by the Mucorales order of fungi usually target patients with a weakened immune system. They are usually also associated with abnormal blood sugar states, such as in diabetic patients. Recent work during the COVID-19 outbreak suggested that excessive steroid use and diabetes may be behind the rise in fungal infections caused by Mucorales, known as mucormycosis, in India, but little work has been done to see whether we can predict the risk of mucormycosis. This study found that these fungal infections need not necessarily be caused by Mucorales' species, but by a wide variety of fungi that target patients with weak immune systems. Secondly, we found that diabetes, breathing-assisting devices and high blood pressure states had associations with COVID-19-associated fungal infections. Finally, we were able to develop a machine learning model that showed high accuracy when predicting the risk of development of these fungal infections.

Rhino-orbital cerebral mycosis: a case series of non-mucorales in COVID patients.

Introduction: Rhino-Orbito-cerebral mycoses are not only caused by Aspergillus spp. and Zygomycetes spp. but also can be associated with other rare species such as Neurospora spp., Cladosporium spp. and Fusarium spp. Mucormycosis is associated causatively with immunocompromised states, for example patients with comorbidities such as diabetes mellitus. Clinical symptoms of coronavirus disease (COVID) and mucormycosis in tandem are critical and relentless, frequently with no life-saving treatment. Case series: We report three patients with COVID-19 infection, who during the course of treatment developed rhino-orbital-cerebral mycosis including oral cavity involvement. Rhinocerebral mycosis along with oral cavity involvement was diagnosed by radiological investigations and preliminary screening for fungal infection (KOH mount) in all three cases. Empirical treatment was started but patients did not respond to treatment. All patients died even after debridement and maxillectomy. On culture, rare species of fungi were isolated in all three cases which, with the help of a reference laboratory, were identified as Neurospora, Cladosporium and Fusarium. Neurospora is considered nonpathogenic to humans. Cladosporium is a dematiaceous fungus found in soil in all climates, associated with disseminated or cerebral infections; and Fusarium, though considered a saprophytic colonizer of skin and respiratory mucosa along with other bacteria, is a common cause of mycotic keratitis worldwide. Conclusion: Immune system modifications due to COVID-19 with/without other risk factors can result in fungal co-infections that prove to be fatal for the patients. It is vital to be aware that COVID-19 patients, particularly those who are critically ill, may acquire secondary fungal infections and early detection is critical.

Satellite Epidemic of Covid-19 Associated Mucormycosis in India: A Multi-Site Observational Study.

BACKGROUND: Sudden upsurge in cases of COVID-19 Associated Mucormycosis (CAM) following the second wave of the COVID-19 pandemic was recorded in India. This study describes the clinical characteristics, management and outcomes of CAM cases, and factors associated with mortality. METHODS: Microbiologically confirmed CAM cases were enrolled from April 2021 to September 2021 from ten diverse geographical locations in India. Data were collected using a structured questionnaire and entered into a web portal designed specifically for this investigation. Bivariate analyses and logistic regression were conducted using R version 4.0.2. RESULTS: A total of 336 CAM patients were enrolled; the majority were male (n = 232, 69.1%), literate (n = 261, 77.7%), and employed (n = 224, 66.7%). The commonest presenting symptoms in our cohort of patients were oro-facial and ophthalmological in nature. The median (Interquartile Range; IQR) interval between COVID diagnosis and admission due to mucormycosis was 31 (18, 47) days, whereas the median duration of symptoms of CAM before hospitalization was 10 (5, 20) days. All CAM cases received antifungal treatment, and debridement (either surgical or endoscopic or both) was carried out in the majority of them (326, 97.02%). Twenty-three (6.9%) of the enrolled CAM cases expired. The odds of death in CAM patients increased with an increase in HbA1c level (aOR: 1.34, 95%CI: 1.05, 1.72) following adjustment for age, gender, education and employment status. CONCLUSION: A longer vigil of around 4-6 weeks post-COVID-19 diagnosis is suggested for earlier diagnosis of CAM. Better glycemic control may avert mortality in admitted CAM cases.

Rectal cancer mimic: a rare case of syphilitic proctitis.

Syphilitic proctitis is a rare presentation of sexually transmitted infection that poses a diagnostic challenge as it mimics rectal cancer clinically, radiologically and endoscopically. We report a case of a 66-year-old male patient with a background of HIV infection presenting with obstructive bowel symptoms and initial diagnosis of rectal cancer on CT. Sigmoidoscopy and histopathology were non-diagnostic. A diagnosis of secondary syphilis was suspected after obtaining sexual history and diagnostic serology, avoiding planned surgical intervention.

Microfilaria in human subcutaneous dirofilariasis: a case report.

Human subcutaneous dirofilariasis, a rare zoonosis is being increasingly reported from various parts of the world. Most of the reported cases have lesions in and around the eye. The adult female dirofilariae release microfilaria into the definitive host's blood. Various mosquitoes that serve as intermediate hosts such as Culex, Aedes and Anopheles take up the microfilariae (mf-L1) while feeding on an infected host. Microfilariae develop in the mosquitoes. The transmission to dogs or other hosts including humans occurs through mosquito bite during subsequent blood meal. Humans may be infected as aberrant (accidental) hosts, mainly by D. repens and D. immitis. D. repens usually resides subcutaneously, while D. immitis frequently ends up in the human lung. In human infections usually just one larva develops, which does not reach sexual maturity. In India, almost all reported cases of dirofilariasis in humans have involvement of face in the form of ocular dirofilariasis with a few reports on subcutaneous dirofilariasis. We report a case of human subcutaneous dirofilariasis, from western India, involving leg and showing microfilaria in tissue indicating presence of gravid female dirofilaria (sexual maturity). To the best of our knowledge, it is among rare cases of subcutaneous dirofilariasis wherein microfilariae have developed in human host.

Prehypertension and associated factors among medical students of SSIMS & RC, Davangere--a cross-sectional study.

Hypertension is a chronic condition of concern and a major public health problem posing a challenge to population in socioeconomic and demographic transition. Prehypertension in adolescents and young adults is an important risk for developing hypertension in later years of life. Therefore this study was taken up among medicos of this institute to study about prehypertension and its associated factors. The objective of the study was to see the prevalence of prehypertension and its associated factors among medicos of SSIMS&RC, Devangere. The study duration was from 1st July 2009 to 31st August 2009. The sample size worked out to be 100 and this set of participants was selected by systematic random sampling. A predesigned and pretested proforma was used to collect the relevant data. Blood pressure (BP) was measured in sitting posture using a standard sphygmomanometer on two different occasions and the average was noted. BP was classified as per the Joint National Committee on prevention, detection, evaluation and treatment of blood pressure. Data was analysed by SPSS. Descriptive statistics was presented by, percentage, mean and SD. Groups are compared with the help of z-test, t-test and Chi-square test. All the participants were in the age group of 18 to 22 years and mean age was 20.29 +/- 0.86 years. Among 100 participants 56 were males and 44 were females. The mean systolic blood pressure was 117.68 +/- 7.16 mm Hg and that of diastolic blood pressure was 77.3 +/- 7.93 min Hg. The percentage of prehypertension and hypertension was 67%. Three participants were diagnosed to be hypertensive.