ABSTRACT
The ongoing global pandemic of the coronavirus disease 2019 (COVID-19) has placed a severe strain on the management of chronic conditions like diabetes. Optimal glycemic control is always important, but more so in the existing environment of COVID-19. In this context, timely insulinization to achieve optimal glycemic control assumes major significance. However, given the challenges associated with the pandemic like restrictions of movement and access to healthcare resources, a simple and easy way to initiate and optimize insulin therapy in people with uncontrolled diabetes is required. With this premise, a group of clinical experts comprising diabetologists and endocrinologists from India discussed the challenges and potential solutions for insulin initiation, titration, and optimization in type 2 diabetes mellitus (T2DM) during the COVID-19 pandemic and how basal insulin can be a good option in this situation owing to its unique set of advantages like lower risk of hypoglycemia, ease of training, need for less monitoring, better adherence, flexibility of using oral antidiabetic drugs, and improved quality of life compared to other insulin regimens. The panel agreed that the existing challenges should not be a reason to delay insulin initiation in people with uncontrolled T2DM and provided recommendations, which included potential solutions for initiating insulin in the absence or restriction of in-person consultations; the dose of insulin at initiation; the type of insulin preferred for simplified regimen and best practices for optimal titration to achieve glycemic targets during the pandemic. Practical and easily implementable tips for patients and involvement of stakeholders (caregivers and healthcare providers) to facilitate insulin acceptance were also outlined by the expert panel. Simplified and convenient insulin regimens like basal insulin analogues are advised during and following the pandemic in order to achieve glycemic control in people with uncontrolled T2DM.
ABSTRACT
Myxedema coma is associated with decreased mental status and hyponatremia among patients with diagnosed or undiagnosed hypothyroidism. The diagnosis is challenging in the absence of universally accepted diagnostic criteria, but should be considered as a differential even in cases with competing established diagnoses. All patients should receive intensive care level treatment. Even with optimal treatment, mortality is very high.
ABSTRACT
Larynx is the second most common site for cancer in the upper aerodigestive tract. One of the dreaded complications following total laryngectomy has been pharyngo cutaneous fistula (PCF). PCF merits special attention due to its significant negative impact on the recovery process. Total laryngectomy profoundly alters speech. Effective voice restoration is essential for the rehabilitation of these patients. Inadequate consensus exists as to the best technique of pharyngeal repair to decrease incidence of PCF and ensure good quality voice following total laryngectomy. 21 patients were included in the study for total laryngectomy with trachea oesophageal voice prosthesis placement. Patients were randomised into 2 groups. Group A had their pharynx repaired in two layers and Group B had it done in three layers. Post operatively the patients were followed up for a period of 12 months to look for incidence of PCF. Subjective and objective evaluation of voice was done. 9.52% of patients developed PCF. All of the cases of PCF were in the group repaired in three layers. In cases with repair by two layers the mean Voice Handicap Index 10 (VHI 10) score was 19.27 and those with three layers pharyngeal repair was 23.20. Average maximum phonation time amongst the study population was 13.09. In three layers and two layers pharyngeal repair the average maximum phonation time was 12.56 and 13.58 respectively. Surgical repair of pharynx in two layers excluding the third layer of pharyngeal musculature reduces the chance of PCF. Two layers pharyngeal repair supplemented by cricopharyngeal myotomy led to significantly better voice outcome.
ABSTRACT
BACKGROUND: Delayed diagnosis of tuberculosis (TB) is a significant problem both in individual as well as community level. Different studies around globe revealed that these diagnostic delays are attributed to both patient delay and health system-related delay. AIMS: This study aims to assess the magnitude of delay in diagnosis and the association with sociodemographic profile among new sputum-positive pulmonary TB patients in Darjeeling district. MATERIALS AND METHODS: A cross-sectional study was conducted among 374 TB patients from October 2011 to March 2012 using a predesigned pretested schedule by face-to-face interview. STATISTICAL ANALYSIS: Logistic regression analysis, odds ratios (OR), adjusted ORs. RESULTS: Patient delay, health system delay and total diagnostic delay were 27 days, 20.1 days, and 20.6 days; mean delays were 23.64, 5.71, and 29.46 days, and median delays were 25, 5, and 32 days, respectively. Risk factors associated with patient delay were female gender, rural residence, illiteracy, smoking, alcohol consumption, taking two, or more alternate treatments; for health system delay were female sex, rural residence, time to reach health facility, time spent per visit; and for total diagnostic delay were female sex, alcoholism, and seeking more than two alternate treatment. CONCLUSIONS: The risk factors for delay identified may be the subject of future interventions.
ABSTRACT
Activity recognition in smart environments is an evolving research problem due to the advancement and proliferation of sensing, monitoring and actuation technologies to make it possible for large scale and real deployment. While activities in smart home are interleaved, complex and volatile; the number of inhabitants in the environment is also dynamic. A key challenge in designing robust smart home activity recognition approaches is to exploit the users' spatiotemporal behavior and location, focus on the availability of multitude of devices capable of providing different dimensions of information and fulfill the underpinning needs for scaling the system beyond a single user or a home environment. In this paper, we propose a hybrid approach for recognizing complex activities of daily living (ADL), that lie in between the two extremes of intensive use of body-worn sensors and the use of ambient sensors. Our approach harnesses the power of simple ambient sensors (e.g., motion sensors) to provide additional 'hidden' context (e.g., room-level location) of an individual, and then combines this context with smartphone-based sensing of micro-level postural/locomotive states. The major novelty is our focus on multi-inhabitant environments, where we show how the use of spatiotemporal constraints along with multitude of data sources can be used to significantly improve the accuracy and computational overhead of traditional activity recognition based approaches such as coupled-hidden Markov models. Experimental results on two separate smart home datasets demonstrate that this approach improves the accuracy of complex ADL classification by over 30 %, compared to pure smartphone-based solutions.
ABSTRACT
BACKGROUND: The treatment outcome "default" under Revised National Tuberculosis Control Program (RNTCP) is a patient who after treatment initiation has interrupted treatment consecutively for more than 2 months. AIMS: To assess the timing, characteristics and distribution of the reasons for default with relation to some sociodemographic variables among new sputum-positive (NSP) tuberculosis (TB) patients in Darjeeling District, West Bengal. SETTINGS AND DESIGN: A case-control study was conducted in three tuberculosis units (TUs) of Darjeeling from August'2011 to December'2011 among NSP TB patients enrolled for treatment in the TB register from 1(st) Qtr'09 to 2(nd) Qtr'10. Patients defaulted from treatment were considered as "cases" and those completed treatment as "controls" (79 cases and 79 controls). MATERIALS AND METHODS: The enrolled cases and controls were interviewed by the health workers using a predesigned structured pro-forma. STATISTICAL ANALYSIS USED: Logistic regression analysis, odds ratios (OR), adjusted odds ratios (AOR). RESULTS: 75% of the default occurred in the intensive phase (IP); 54.24% retrieval action was done within 1 day during IP and 75% within 1 week during continuation phase (CP); cent percent of the documented retrieval actions were undertaken by the contractual TB program staffs. Most commonly cited reasons for default were alcohol consumption (29.11%), adverse effects of drugs (25.32%), and long distance of DOT center (21.52%). In the logistic regression analysis, the factors independently associated were consumption of alcohol, inadequate knowledge about TB, inadequate patient provider interaction, instances of missed doses, adverse reactions of anti-TB drugs, Government Directly Observed Treatment (DOT) provider and smoking. CONCLUSIONS: Most defaults occurred in the intensive phase; pre-treatment counseling and initial home visit play very important role in this regard. Proper counseling by health care workers in patient provider meeting is needed.
ABSTRACT
Olanzapine is an atypical antipsychotic which is efficacious in the treatment of schizophrenia. The adverse effect profile for olanzapine is benign except for higher rates of metabolic events. Orthostatic hypotension is less commonly reported with olanzapine as compared to first-generation and few atypical antipsychotics. We report a case where olanzapine, in a dose dependent fashion, caused transient postural hypotension.
