Tuberculosis Pathways to Care and Transmission of Multidrug Resistance in India.

Rationale: India is experiencing a regional increase in cases of multidrug-resistant tuberculosis (MDR-TB). Objectives: Given the complexity of MDR-TB diagnosis and care, we sought to address key knowledge gaps in MDR risk factors, care delays, and drivers of delay to help guide disease control. Methods: From January 2018 to September 2019, we conducted interviews with adults registered with the National TB Elimination Program for MDR (n = 128) and non-MDR-TB (n = 269) treatment to quantitatively and qualitatively study care pathways. We collected treatment records and GeneXpert-TB/RIF diagnostic reports. Measurements and Main Results: MDR-TB was associated with young age and crowded residence. GeneXpert rifampicin resistance diversity was measured at 72.5% Probe E. Median time from symptom onset to diagnosis of MDR was 90 days versus 60 days for non-MDR, Wilcoxon P < 0.01. Delay decreased by a median of 30 days among non-MDR patients with wider access to GeneXpert, Wilcoxon P = 0.02. Pathways to care were complex, with a median (interquartile range) of 4 (3-5) and 3 (2-4) encounters for MDR and non-MDR, respectively. Of patients with MDR-TB, 68% had their first encounter in the private sector, and this was associated with a larger number of subsequent healthcare encounters and catastrophic expenditure. Conclusions: The association of MDR with young age, crowding, and low genotypic diversity raises concerns of ongoing MDR transmission fueled by long delays in care. Delays are decreasing with GeneXpert use, suggesting the need for routine use in presumptive TB. Qualitatively, we identify the need to improve patient retention in the National TB Elimination Program and highlight patients' trust relationship with private providers.

A Case of Entamoeba histolytica Liver Abscess in an Immigrant Patient.

Entamoeba histolytica is a pathogenic protozoan endemic to Asia, Africa, and Central and South America. However, with increased travel and emigration, it is becoming a common parasitic infection leading to many worldwide deaths. We present a case of a young Hispanic male immigrant with an amebic liver abscess. This case report highlights the complexities of diagnosing and treating E. histolytica infection.

Anti-CASPR2 Antibody-Associated Autoimmune Encephalitis Presenting as Refractory Seizures.

Autoimmune encephalitis (AE) is a rare immune-mediated disorder comprised of non-infectious neuroinflammatory disease processes. Clinical presentation overlaps with a broad range of neurodegenerative disorders and infectious encephalitis; therefore, AE remains a diagnosis of exclusion. Patients may present with nonspecific symptoms such as psychiatric disturbances, cognitive deficits, seizures, movement disorders, and confusion. Prompt diagnosis and management are necessary for patients with AE to decrease mortality and improve quality of life. First-line therapy includes immunosuppression with corticosteroids, intravenous immunoglobulin, and plasmapheresis. We report the case of an 86-year-old female with a medical history of Parkinson's disease who presented with nonspecific seizure-like activity and was diagnosed with AE.

Minimized Computations of Deep Learning Technique for Early Diagnosis of Diabetic Retinopathy Using IoT-Based Medical Devices.

Diabetes mellitus is the main cause of diabetic retinopathy, the most common cause of blindness worldwide. In order to slow down or prevent vision loss and degeneration, early detection and treatment are essential. For the purpose of detecting and classifying diabetic retinopathy on fundus retina images, numerous artificial intelligence-based algorithms have been put forth by the scientific community. Due to its real-time relevance to everyone's lives, smart healthcare is attracting a lot of interest. With the convergence of IoT, this attention has increased. The leading cause of blindness among persons in their working years is diabetic eye disease. Millions of people live in the most populous Asian nations, including China and India, and the number of diabetics among them is on the rise. To provide medical screening and diagnosis for this rising population of diabetes patients, skilled clinicians faced significant challenges. Our objective is to use deep learning techniques to automatically detect blind spots in eyes and determine how serious they may be. We suggest an enhanced convolutional neural network (ECNN) utilizing a genetic algorithm in this paper. The ECNN technique's accuracy results are compared to those of existing approaches like the K-nearest neighbor approach, convolutional neural network, and support vector machine with the genetic algorithm.

Novel mutation in forkhead box G1 (FOXG1) gene in an Indian patient with Rett syndrome.

Rett syndrome (RTT) is a severe neurodevelopmental disorder characterized by the progressive loss of intellectual functioning, fine and gross motor skills and communicative abilities, deceleration of head growth, and the development of stereotypic hand movements, occurring after a period of normal development. The classic form of RTT involves mutation in MECP2 while the involvement of CDKL5 and FOXG1 genes has been identified in atypical RTT phenotype. FOXG1 gene encodes for a fork-head box protein G1, a transcription factor acting primarily as transcriptional repressor through DNA binding in the embryonic telencephalon as well as a number of other neurodevelopmental processes. In this report we have described the molecular analysis of FOXG1 gene in Indian patients with Rett syndrome. FOXG1 gene mutation analysis was done in a cohort of 34 MECP2/CDKL5 mutation negative RTT patients. We have identified a novel mutation (p. D263VfsX190) in FOXG1 gene in a patient with congenital variant of Rett syndrome. This mutation resulted into a frameshift, thereby causing an alteration in the reading frames of the entire coding sequence downstream of the mutation. The start position of the frameshift (Asp263) and amino acid towards the carboxyl terminal end of the protein was found to be well conserved across species using multiple sequence alignment. Since the mutation is located at forkhead binding domain, the resultant mutation disrupts the secondary structure of the protein making it non-functional. This is the first report from India showing mutation in FOXG1 gene in Rett syndrome.

Gallbladder cancer revealed by an endobiliary tumor thrombus.

Common bile duct neoplastic thrombosis is rare and can cause jaundice in case of gallbladder cancer (GBC). We report the case of a 45-year-old man with GBC located in the fundus associated with a malignant endobiliary thrombus. A surgical procedure has been performed, including segmentectomy 4b+5 with common bile duct resection with Roux-en-Y hepaticojejunostomy. Postoperative courses were uneventful and the patient is alive at 15 months.

Variability in the calibration error of the goldmann applanation tonometer.

PURPOSE: To investigate the variability in the measured calibration error with continued usage of Goldmann applanation tonometers (GATs) having unacceptable calibration error. METHODS: The study included 132 slit-lamp mounted Goldmann tonometers (Model AT 900 C/M; Haag-Streit, Switzerland). A single observer twice checked a randomly selected set of 25 instruments on 2 consecutive days to determine the intraobserver agreement in the measurement of GAT calibration error. The same observer prospectively checked all the instruments between 8 and 9 AM on any given day at all testing levels namely 0, 20, and 60 mm Hg and rechecked the faulty instruments (calibration error more than ± 2 mm Hg at any testing level) 2 times more on the same day between 12 noon and 1 PM and 4 and 5 PM. RESULTS: The single measures intraclass correlation coefficients for the intraobserver agreement at the 20 mm Hg testing level were 0.78 for positive error and 0.83 for negative error. Twenty-eight (21%) instruments were faulty at any testing level. Nineteen (14%) were faulty at the clinically most important 20 mm Hg testing level. The maximum observed variability in the positive and negative calibration error at any testing level was +4 and -23 mm Hg, respectively. Fifteen (53%) faulty instruments had high variability (≥ 2 mm Hg) in the calibration error at any testing level. CONCLUSIONS: The calibration error of faulty GATs can frequently have a high variability. One should avoid estimating the true intraocular pressure from a faulty GAT by instinct.