Search

We have recently witnessed the rapid development of several emerging technologies, including the internet of things, which lead to a high interest in wireless sensor networks. Tiny sensor nodes are now important parts of a large number of complex systems, with numerous applications, including military, environment monitoring, and surveillance and body area sensor networks. A wireless sensor network builds the core part for IoT. Besides this, lifetime maximization is the biggest challenge in the wireless sensor network. Also, In a wireless sensor network, it is difficult to find an optimal node deployment approach that would minimize costs, be robust to node failures, decrease computing overhead and communication, and maintain a high degree of coverage and network connectivity. There is numerous literature addressed this challenge which is discussed in this paper; still there are lot many challenges yet to be addressed. Considering this scenario, in this paper, we propose a scheduled-based node deployment algorithm using Firefly Optimization (FA) to offer a circumstance where we have a group of target points that satisfy p-coverage and sensor nodes that satisfy q-connectivity, with subject to the selection of the optimal number of a sensor node that has the highest energy and minimum distance. The multiple parameters as no. of sensor nodes, distance, survivability factors, coverage, and connectivity of the sensor nodes are considered for designing the fitness function. A comprehensive statistical analysis is done using the simulation results to prove the proposed scheme's efficiency with other existing state-of-the-art methods under various p-coverage and q-connectivity configurations. [ABSTRACT FROM AUTHOR]

Wireless sensor networks (WSNs) are the substantial parts of any Internet of Things (IoT)-based applications. A WSN is deployed to collect essential data from a specific application field in the IoT. A WSN can fail for various reasons, which can disrupt the operation of numerous IoT applications. The main threat to network failure is topology changes, node failure due to battery drain, or breakdown of the wireless nodes communication module. An effective fault tolerance mechanism for WSN can guarantee reliable data acquisition and transmission in IoT applications. This paper proposes a fault-tolerant cluster-based routing protocol for WSNs using a hybrid algorithm called FAGWO-H, which combines Firefly Optimization (FA) and Grey Wolf Optimization (GWO). FA is employed for optimal clustering, and GWO chooses the best route between the cluster head (CH) and the base station. The proposed method uses two novel fitness functions for FA and GWO. The algorithm considers the energy efficiency and fault-tolerant aspect of the sensor nodes and CHs to improve network performance while meeting QoS criteria. We assessed the effectiveness of the techniques using several WSN scenarios and compared them to the existing state of art methods. [ABSTRACT FROM AUTHOR]

This is a case study of anaphylactic reaction to cefotaxime sodium in a 23-year-old female who underwent a lower segment cesarean section under spinal anesthesia. Cefotaxime sodium, an antibiotic belonging to the class of cephalosporins, was administered intravenously postoperatively for prevention of infection. The patient complained of breathlessness, swelling around both eyes, and pruritus and urticarial rash over her abdomen, legs, and forehead. The case was successfully managed by withholding the medication and treatment of symptoms. According to the WHO-Uppsala Monitoring Centre causality assessment scale, a probable causal relationship between the suspected drug (cefotaxime sodium) and anaphylactic reaction was made. The severity was found to be moderate (Level 3). Although cefotaxime has well established place in surgical prophylaxis, this case study emphasizes on constant observation and meticulous follow-up of patients receiving it in clinical practice as there is possibility of an adverse drug reaction (ADR) which can be life-threatening. Such happenings can add to challenges faced by the treating physician in the present COVID-19 era. Recognizing ADR helps reduce morbidity and mortality. Reporting ADR helps in documentation and education of healthcare professionals. [ABSTRACT FROM AUTHOR]

Background: Complementary and alternative medicine (CAM), includes a wide range of approaches such as herbal medicine, traditional therapies, mind-body intervention, etc. Although CAM is a common practice in India, it is not being integrated into the conventional medical system. There is a paucity of data regarding the usage and acceptance of CAM by patients. Objective: The aim was to determine the knowledge, attitudes, and practice toward CAM among patients and to correlate these findings with their demographic and professional characteristics. Materials and Methods: A cross-sectional, questionnaire-based survey conducted in 100 patients attending out-patient department of a tertiary care teaching hospital. Results: Among the respondents, 79.0% were aware of CAM and 46.0 used it. Most common system used was Ayurveda (71.73%), and most common ailment for which it is used was arthritis (30.43%). Majority consulted quacks (43.47%); physicians (23.91%), friends and relatives (19.56%), and 15.21% took CAM as a self-medication. Thirty percent felt that CAM was based on scientific evidence, 25% felt it was safer than modern medicine that is significantly more in women when compared to men. Twenty-five percentage opined that CAM is more efficacious than modern medicine that is significantly more in respondents >40 years age. The most common advantages reported were complete cure, easy availability and no side-effects, whereas disadvantages include food restriction, expensive medication, symptomatic relief and effective for limited diseases. Conclusion: Majority of patients use CAM along with modern medicine without physician's advice. Hence, healthcare professionals should be aware of this while taking clinical history and treating patients that may reduce drug interactions due to use of CAM particularly in the elderly population. [ABSTRACT FROM AUTHOR]

Background: The magnitude of tuberculosis (TB) and associated risk factors for development of toxicity to anti-TB drugs in vulnerable tribal groups are useful indicators for understanding extent of TB transmission, effectiveness of TB therapy. Such studies help to gather information, helps in planning control and preventive strategies for TB in this special population. The study was carried out to evaluate incidence of hepatotoxicity, association between risk factors, anti-TB regimen and hepatotoxicity in selected vulnerable population. Materials and Methods: Prospective study in tribes (Gond, Halba, Kawar) of a district in central India diagnosed with pulmonary/extrapulmonary/Multi drug resistant TB. These patients were on anti- TB regimen, monitored clinically and biochemically for hepatotoxicity at the end of 1, 3 and 6 months of anti-tubercular therapy. A specific criterion was set for diagnosing hepatotoxicity. Results: Incidence of hepatotoxicity was 9.23%. Raised serum transaminase, bilirubin level and symptoms of hepatotoxicity like nausea, anorexia, vomiting, malaise, jaundice, were observed. The onset of hepatotoxicity ranged from 25-180 days (median 65 days). Of various risk factors analyzed, high alcohol intake was associated with hepatotoxicity (odds ratio = 9.3, 95% confidence interval 1.8-47, p=0.003). Age, gender, extent of tuberculosis disease, malnutrition was not significantly associated with anti-tuberculosis treatment hepatotoxicity. Relative risk of developing hepatotoxicity in alcoholic addicted males was 14.117. Conclusion: Withdrawal of alcohol habit in selected tribes on anti- Tuberculosis regimen will cause a drop in developing hepatotoxicity by 93%. Mass education regarding same would curtail hepatotoxicity making therapy safe. [ABSTRACT FROM AUTHOR]

Objective: To evaluate adherence to medication and study factors associated with nonadherence in chronic kidney disease (CKD) patients. Methods: A prospective, cross-sectional, questionnaire based study was conducted in Nephrology department of a super specialty hospital. Patients above 18 years of age, suffering from CKD from six months or more were interviewed using self-designed, semi-structured questionnaire to get information about adherence to medication, diet restriction and lifestyle modification (n = 150). Morisky medication adherence questionnaire was used to calculate overall adherence. In this higher score indicates poor adherence. Main outcome measures included prevalence of non-adherence and factors associated with the same. Results: Average number of medicines taken by each patient was 8.0+1.612 (mean+SD) per day. Non-adherence to medication schedule was reported in 34% patients. Common causes of non-adherence were high cost (21.3%), complex dosing schedule (20%), fear of adverse effects (16%). Sixty-eight% patients were not aware about importance of taking each medicine. Sixteen% stopped taking medicines due to high cost. Forty-two% suggested that government should adopt measures to provide free medicines to poor patients. In Morisky medication adherence questionnaire high, medium and low adherence was reported in 7.3%, 55.3% and 37.3% of patients, respectively. Moderately positive correlation was observed between poor adherence and number of concurrent illnesses and number of medicines taken. Conclusion: Since majority of patients were not aware about importance of taking each medicine, creating awareness about the same is essential for improving adherence to therapy. Measures to provide free medicines to non-affording patients need to be implemented since high cost was other major cause of non-adherence. [ABSTRACT FROM AUTHOR]

Objective: To evaluate adherence to medication and study factors associated with nonadherence in chronic kidney disease (CKD) patients. Methods: A prospective, cross-sectional, questionnaire based study was conducted in Nephrology department of a super specialty hospital. Patients above 18 years of age, suffering from CKD from six months or more were interviewed using self-designed, semi-structured questionnaire to get information about adherence to medication, diet restriction and lifestyle modification (n = 150). Morisky medication adherence questionnaire was used to calculate overall adherence. In this higher score indicates poor adherence. Main outcome measures included prevalence of non-adherence and factors associated with the same. Results: Average number of medicines taken by each patient was 8.0+1.612 (mean+SD) per day. Non-adherence to medication schedule was reported in 34% patients. Common causes of non-adherence were high cost (21.3%), complex dosing schedule (20%), fear of adverse effects (16%). Sixty-eight% patients were not aware about importance of taking each medicine. Sixteen% stopped taking medicines due to high cost. Forty-two% suggested that government should adopt measures to provide free medicines to poor patients. In Morisky medication adherence questionnaire high, medium and low adherence was reported in 7.3%, 55.3% and 37.3% of patients, respectively. Moderately positive correlation was observed between poor adherence and number of concurrent illnesses and number of medicines taken. Conclusion: Since majority of patients were not aware about importance of taking each medicine, creating awareness about the same is essential for improving adherence to therapy. Measures to provide free medicines to non-affording patients need to be implemented since high cost was other major cause of non-adherence. [ABSTRACT FROM AUTHOR]

Objective: To evaluate adherence to therapy and study factors associated with non-adherence in patients of type 2 diabetes mellitus (DM). Methods: A prospective, cross-sectional, questionnaire based study was conducted in a tertiary care teaching hospital. 150 patients suffering from type 2 DM since six months or more were interviewed using self-designed, semistructured questionnaire to get information about adherence to medication, diet/exercise schedule and self-monitoring of blood glucose. Morisky medication adherence questionnaire was used to calculate overall adherence. Results: Average number of medicines taken by each patient daily was 4.75 ± 1.73 (mean + SD). 70% patients reported non-adherence to medication schedule. Not buying all medicines (58.66%), not taking prescribed dose of medicines (34%), taking additional non-prescribed medicines (30%) and not taking medicines for required duration (25.33%) were common types of nonadherence. Unawareness about need of each medicine (55.66%), forgetfulness (50.66%) and high cost (43.33%) were the common causes of non-adherence. In Morisky medication adherence questionnaire high, medium and low adherence was reported by 0%, 26% and 74% of patients, respectively. Moderately positive correlation was observed between poor adherence and number of concurrent illnesses, number of medicines taken and female gender. Regular monitoring of blood glucose and diet schedule was followed by 46% and 68% patients respectively. Conclusion: Since, not buying all medicines, which was mostly due to high cost was the commonest type of non-adherence, measures to provide free medicines to non-affording patients need to be implemented. Majority of patients were not aware about need of taking each medicine, hence, creating awareness about the same is essential for improving adherence to therapy. [ABSTRACT FROM AUTHOR]

Objectives: Health-related quality of life (QOL) is an important outcome in epilepsy treatment. Very few studies have been carried out on the quality of life in epilepsy (QOLIE-31) in India. The present study aimed to determine the level of health-related QOLIE-31 in patients of epilepsy. Materials and Methods: This was a cross-sectional, questionnaire-based study conducted in a tertiary care teaching hospital. Respondents were adults aged at least 18-year-old with a diagnosis of epilepsy. QOLIE-31 was used for collecting data on health-related QOL. The unpaired t-test or one-way analysis of variance was used to compare means of QOL scores between groups. Results: Totally, 60 patients of epilepsy were included in the study. The mean (standard deviation) total score of QOLIE-31 was 64.61. A score of cognitive and medication effect were significantly better in carbamazepine group as compared to valproate group. Conclusions: Patients on monotherapy had a better QOL as compared to patients receiving polytherapy. [ABSTRACT FROM AUTHOR]

Context: Prescribing is a challenging task requiring knowledge of essential medicine (EM), rational use of medicines (RUM) and personal drugs (P-drug). Though the majority of clinicians recognize the importance of RUM, most of them have not been able to apply this knowledge in their medical practice. Aims: The aim of the following study is to assess knowledge, attitude and practice of clinicians about RUM, EM, P-drugs, and sources of drug information. Settings and Design: A cross-sectional, questionnaire based study. Subjects and Methods: Study was carried out in 100 respondents including faculty members and junior residents (JRs) in a tertiary-care teaching hospital. Statistical Analysis: Univariate analysis was carried out using fisher's exact test. Results: Nearly 93% respondents were aware about EM, but only 79% prescribe them. Percentage is significantly higher in respondents of age more than 30, having clinical experience <5 years and in faculty members as compared to residents. Nearly 87% respondents were aware about RUM, but only 83 % practice it. Though 30 % respondents practiced P-drug concept only 1% were aware about STEP criteria. Practicing P-drug concept was significantly more in JRs compared to faculty members (P < 0.0001). None of the respondents were aware about the number of drugs in National List of EMs of India. Conclusions: It is an encouraging finding that higher percentages of clinicians were aware about EM and also prescribed it. However, level of understanding related to P-drug concept and existence of essential medicines list are much below par. Also prescribing by trade name and heavy dependency on medical representatives for drug information is the matter of concern. [ABSTRACT FROM AUTHOR]