Severe Medical Problems Research Articles

The impact of surgical intervention on statographic parameters of patients with diabetic foot syndrome

Taking into account that the prevalence of diabetes mellitus continues to increase worldwide, secondary complications associated with this endocrine disorder are becoming increasingly common. Disruption of glucose homeostasis and hyperglycemia lead to the activation of several pathological metabolic pathways, contributing to the development of vascular insufficiency and neurodegenerative processes in the lower limbs. These processes are the causes of a condition known as diabetic foot syndrome (DFS), which requires special attention and meticulous treatment. Complications in the form of trophic ulcers of the lower limbs are one of the serious consequences of diabetes mellitus (DM) since they often lead to severe medical and social problems, including high rates of limb amputations. The purpose of the research is to investigate the redistribution of plantar pressure depending on the volume of surgical intervention in patients with diabetic foot syndrome (DFS) by measuring individual statographic parameters. The analysis of a series of parameters from statographic studies in patients with diabetic foot syndrome undergoing various volumes of surgical interventions has allowed for a comprehensive understanding of the features of vertical standing of these patients. In the course of the research, it has been revealed that as the support area of the operated foot decreases, there is an increase in body oscillation in both the sagittal and frontal planes relative to the support area. It has been proven that in cases with a normal support area of the foot, the relative body oscillation decreases.

Knowledge, attitude and perceived barriers in the practical approach of obstructive sleep apnea management

Obstructive sleep apnea (OSA) is a clinical disorder affecting almost 1 billion people globally. Untreated OSA can cause severe medical problems. Present cross-sectional study was conducted amongst 106 dentists. Convenient sampling method was used and predesigned domain-based questionnaire was employed to gather the data.Data was entered and analyzed with Epi Info software (CDC, Atlanta). Measures of central tendency was used to present the data.Most of the respondents were female 69 (65.1%) and 37(34.9%) were male. Out of total participants 81% were general dental practioners whereas orthodontics and consultants accounted for 19%. OSA though highly prevalent amongst the general population but remains highly undiagnosed. Most common perceived barrier was lack of training and cost in the management of OSA.

Amphetamine-type stimulant (ATS) use and association with concurrent use of benzodiazepines, barbiturates and THC in the West Bank among male Palestinians: a cross-sectional study

IntroductionAmphetamine-type stimulants (ATSs) are becoming a growing concern in the West Bank. Despite the focus on marijuana, statistics show that ATS seizures and clandestine laboratories indicate increased use of this...

Trichinellosis dissemination among wild carnivores in the Republic of Kazakhstan: A 10-year study.

Trichinellosis is caused by a species of roundworm called Trichinella and is an invasive disease causing severe medical, veterinary, and socioeconomic problems worldwide. More than 100 mammalian species are Trichinella hosts. Among domestic animals, pigs and dogs are prone to trichinellosis. An essential aspect of controlling the spread of infection is to identify the number and level of infections in wild carnivores in the country. However, the number, habitats, and movements of wild animal Trichinella hosts in Kazakhstan have not been reported yet. This study aimed to monitor the wild animal habitat nearby the settlements for tracking the trichinellosis speading among carnivores. Wild carnivorous animals were captured in seven regions of the Republic of Kazakhstan. The carcasses of corsacs, wolves, foxes, wild boars, and badgers were studied. Muscle tissue samples from spontaneously infected wild animals were collected. The digestion method in "GASTROS-2M" was used to isolate Trichinella spp. from animal muscles. The species of the parasite was determined by a polymerase chain reaction for 5S spacer of Trichinella ribosomal DNA with subsequent sequencing by Senger. Statistical analysis methods were performed for average value in Microsoft Excel 2010. The results of the research showed that among 155 animals wolves (20.4%) and foxes (26.7%) were the most infected with invasive Trichinella larvae. The invasion intensity was 503.6% in foxes and 289.7% in wolves. However, badgers (164%), wild boars (0%), and corsacs (0%) presented lower invasion levels. Using specific primers, larvae samples were identified as Trichinella nativa. The results of monitoring revealed the spread of trichinosis among wild animals: wolves, foxes, badgers. The Karaganda, Kostanay, Western Kazakhstan, and Akmola regions had the largest distribution of wild animals infected with trichinellosis. In total, 20% of the 155 studied animals were infected. The greatest invasion intensity was typical for wolves, foxes and badgers. It is necessary to monitor the spread of trichinellosis among wild carnivores to control the epidemiological situation and reduce the level of spontaneous infection among animals. Regular monitoring of habitats and carnivores must be conducted within the country and in the border areas.

MEDICAL METAVERSE: TECHNOLOGIES, APPLICATIONS, CHALLENGES AND FUTURE

Currently, medical technology is developing rapidly and more medical problems are being solved. However, the shortage of medical resources and the high cost of medical care have become severe medical problems in response to the needs of patients. The continuous improvement of medical experience and quality is one of the most critical issues and is widely valued. The metaverse is an emerging digital space that integrates all kinds of technologies, including artificial intelligence, virtual reality, augmented reality, internet technology, blockchain and digital twin, etc. These technologies can ensure an immersive experience in the metaverse for humans to complete various tasks efficiently. Many fields, including video games, industrial production and medical service, have started to pay attention to the application of the metaverse. In the medical field, medical personnel can use the metaverse to achieve efficient diagnosis, education and treatments. And the interaction between medical personnel and patients in digital space can be strong. In this paper, we review the technologies and the applications of the metaverse and explore the potential of the metaverse in healthcare from several application scenarios. Based on this, the current challenges are analyzed and the possible solutions are proposed as the future direction of medical metaverse.

PREVALENCE OF PSYCHIATRIC DISORDERS IN VIOLENT CRIME BEHAVIOUR: CLERKED CLIENTS LIST, FEDERAL MEDICAL CENTRE, KEFFI

Prevalence of psychiatric disorders and violent crime is unprecedented in the national health emergency sectors especially FMC, Keffi health in a box. Psychiatric clients were recorded among the psychiatric cases in the clinic in federal medical centre, Keffi. The cardinal objective of the study is to investigate the prevalence of psychiatric disorders and ways to curtail incidences of psychosocial disorders in the mental behaviour process of the clients under examination. The current states of disturbance of psychiatric patient clinic were characterized by schizophrenia disorder, anxiety disorder, depression disorder, alcoholic, antisocial personality disorder and mental illness and violent crime behaviour. Clinical depression and bipolar disorder were characterized by profoundly sad mood, overwhelming feelings of self-blame, guilt, and worthlessness, appetite disturbance in a recurrent thought of death or suicide. The study revealed that the effective prevalence and treatment for psychiatric clients will enhance management of the psychosocial disorder and the recovering of health well- being of the psychiatric patient’s clinic. The study concluded and recommends that the psychiatric disorders and violent crime were assessed through medical examination and national registers with reported incident psychotic symptoms. The pattern of inner experience and behaviour of violent crime is a significant health problem causing severe medical and social problems, considerable human suffering a huge economic cost. The prevalence of crime rates may supply more information about criminal behaviour than crime registers because of the high rate of unregistered less severe violent crime and therefore underestimate the psychiatric disorders and criminal behaviour.

Acoustic Cry Characteristics in Preterm Infants and Developmental and Behavioral Outcomes at 2 Years of Age

Acoustic cry characteristics have been associated with severe medical problems in newborns. However, little is known about the utility of neonatal acoustic cry characteristics in the prediction of long-term outcomes of very preterm infants. To evaluate whether acoustic characteristics of infant cry at neonatal intensive care unit (NICU) discharge are associated with behavioral and developmental outcomes at age 2 years in infants born very preterm. Infants born less than 30 weeks postmenstrual age (PMA) were enrolled from April 2014 through June 2016 as part of a multicenter (9 US university affiliated NICUs) cohort study and followed to adjusted age 2 years. Reported analyses began on September 2021. Data were analyzed from September 2021 to September 2022. The primary exposure was premature birth (<30 weeks PMA). Cries were recorded during a neurobehavioral examination administered during the week of NICU discharge. Cry episodes were analyzed using a previously published computerized system to characterize cry acoustics. Year-2 outcomes included the Bayley-III Composite scores, Child Behavior Checklist (CBCL) and the Modified Checklist for Autism in Toddlers (M-CHAT R/F), dichotomized using clinically significant cutoffs (<85 on Bayley Language, Cognitive and/or Motor Composite scores, T-score >63 on the CBCL Internalizing, Externalizing and/or Total Problem Scales and total M-CHAT R/F score >2). Analyzed infants (363 participants) were primarily male (202 participants [55.65%]) and had a mean [SD] gestational age of 27.08 [1.95] weeks). Cross-validated random forest models revealed that cry acoustics were associated with 2-year outcomes. Tests of diagnostic odds ratios (DOR) revealed that infants who exhibited total problem behavior CBCL scores greater than 63 at age 2 years were 3.3 times more likely (95% CI, 1.44-7.49) to be identified as so by random forest model estimates relative to other infants (scores ≤63); this association was robust to adjustment for family-wise type-I error rates and covariate measures. Similar associations were observed for internalizing (DOR, 2.39; 95% CI, 1.04-5.47) and externalizing (DOR, 2.25; 95% CI, 1.12-4.54) scores on the CBCL, clinically significant language (DOR, 1.71; 95% CI, 1.10-2.67) and cognitive (DOR, 1.70; 95% CI, 1.00-2.88) scores on the Bayley-III, and a positive autism screen on the M-CHAT (DOR, 1.91; 95% CI, 1.05-3.44). In this cohort study of preterm infants, findings pointed to the potential use of acoustic cry characteristics in the early identification of risk for long-term developmental and behavioral deficits.

The Differential Evolution Algorithm for Solving the Problem of Size Selection and Location of Infectious Waste Incinerator

The disposal of infectious waste remains one of the most severe medical, social, and environmental problems in almost every country. Choosing the right location and arranging the most suitable transport route is one of the main issues in managing hazardous waste. Identifying a site for the disposal of infectious waste is a complicated process because both tangible and intangible factors must be considered together, and it also depends on various rules and regulations. This research aims to solve the problem of the size selection and location of infectious waste incinerators for 109 community hospitals in the upper part of northeastern Thailand by applying a differential evolution algorithm to solve the problem with the objective of minimizing the total system cost, which consists of the cost of transporting infectious waste, the fixed costs, and the variable cost of operating the infectious waste incinerator. The developed differential evolution produces vectors that differ from the conventional differential evolution. Instead of a single set of vectors, three are created to search for the solution. In addition to solving the problem of the case study, this research conducts numerical experiments with randomly generated data to measure the performance of the differential evolution algorithm. The results show that the proposed algorithm efficiently solves the problem and can find the global optimal solution for the problem studied.

The Incidence and Outcomes for Children with Cleft Palate and/or Lip and CHARGE Syndrome.

Published literature on children with cleft palate and/or lip (CP + /-L) and CHARGE syndrome (CS) is limited. This study investigated cleft characteristics including surgery, and feeding and communication outcomes in children identified with CP + /-L and CS. Retrospective cross-sectional review. Regional Referral Centre for Paediatric Cleft Surgery. All children diagnosed with CP + /-L and CS (based on clinical features and/or CHD7 mutation testing) between 1989-2019. Cleft type, timing of CP + /-L repair, reasons for 'delayed' repair, feeding methods and communication modality. Twenty-two children with CP + /-L and CS were identified. Cleft sub-types (%) were: Eleven (50%) had bilateral cleft lip and palate (BCLP), six (27%) had unilateral cleft lip and palate (UCLP) and five (23%) had cleft palate (CP). Cleft repair was delayed compared to protocol care for non-syndromic children with CP + /-L. Median age for lip repair + /- vomerine flap was 9 months (range 4-22 months), and palate repair was 21 months (range 11-40 months). Median age for isolated CP repair was 13 months (range 7-23). Surgery for cardiac anomalies (36%) before cleft repair, and (59%) were classed as having severe systemic disease at the time of cleft surgery. Only 27% of the children in this study had both full oral feeding and verbal communication. Children with CP + /-L and CS had severe cleft types and complex medical problems leading to delayed cleft surgery. Feeding and speech outcomes were better in the children aged over ten years.

Glucose Monitoring System using Machine Learning

Bio-medical analysis is an indispensable procedure for identifying health-related diseases like diabetes. Monitoring the glucose level in our body regularly helps us identify hyperglycemia and hypoglycemia which can cause severe medical problems like nerve damage or kidney diseases. This paper outlines a technique for predicting the Glucose concentration in blood samples utilizing Image Processing and Machine Learning Algorithms. The glucose solution is prepared by the Glucose Oxidase (GOD) and Peroxidase (POD) method. Experimental database is generated based on colorimetric technique. The image of the glucose solution is captured by the raspberry pi camera and analyzed using Image Processing by extracting the RGB, HSV, LUX color space values. Regression algorithms like Multiple Linear Regression, Decision Tree, RandomForest, and XGBoost were used to predict the unknown glucose concentration. Since multiple linear regression yields the best results when compared to other models, with the highest accuracy of 96.56% for selected features and 89.73% for all features, it should be used to predict blood sample glucose levels. The image processing and machine learning based approach reduces the hardware complexities of the existing platforms.

Changes in Ion Concentrations upon the Binding of Short Polyelectrolytes on Phospholipid Bilayers: Computer Study Addressing Interesting Physiological Consequences.

This computer study was inspired by the experimental observation of Y. Qian et al. published in ACS Applied Materials and Interfaces, 2018 that the short positively charged β-peptide chains and their oligomeric analogues efficiently suppress severe medical problems caused by antimicrobial drug-resistant bacteria despite them not penetrating the bacterial membrane. Our coarse-grained molecular dynamics (dissipative particle dynamics) simulations confirm the tentative explanation of the authors of the experimental study that the potent antimicrobial activity is a result of the entropically driven release of divalent ions (mainly magnesium ions essential for the proper biological function of bacteria) into bulk solution upon the electrostatic binding of β-peptides to the bacterial membrane. The study shows that in solutions containing cations Na+, Ca2+ and Mg2+, and anions Cl−, the divalent cations preferentially concentrate close to the membrane and neutralize the negative charge. Upon the addition of positively charged oligomer chains (models of β-peptides and their analogues), the oligomers electrostatically bind to the membrane replacing divalent ions, which are released into bulk solvent. Our simulations indicate that the entropy of small ions (which controls the behavior of synthetic polyelectrolyte solutions) plays an important role in this and also in other similar biologically important systems.

Risk modeling of femoral neck fracture based on geometric parameters of the proximal epiphysis.

BACKGROUNDFractures of the proximal femur epiphysis are problematic for state health care because they are associated with severe medical and social problems and high morbidity and mortality rates.AIMTo model the potential risk of hip fracture via femur geometric parameters.METHODSSeventy educational cadaveric femurs from people aged 14 to 80 years, 10 X-ray images from the records of the Human Anatomy Department and 10 X-ray images from the Department of Traumatology, Orthopedics and Disaster Surgery of Sechenov University, were evaluated. The parameters of the fractured bone were measured using images captured with a Canon d60 camera. The projection values of the proximal epiphysis of the cadaveric femurs and geometric parameters of the bones shown in the X-ray images were measured with Autodesk software (AutoCAD 2018). Analysis of the video frames showing bone rotation reveal that the greater trochanter can be inscribed in a parallelepiped, where one of the faces is parallel to the plane of view in the frontal standard projection and is rectangular. The angle of bone rotation obtained by turning the cube corresponded to the angle measured with the second technique. This reliable method of calculating the rotation of the bone relative to the anterior projection was employed in subsequent calculations. The geometric parameters of the femur were measured using X-ray images according to the proposed method.RESULTSThe geometric parameters of 70 femurs were analyzed, and correlation coefficients were calculated. Our measurement results were compared with those reported by other authors. The potential influence of femur geometry on force distribution in the proximal epiphysis of the femur was described, and a 2-dimensional model of the femur epiphysis associated with minimal neck fracture risk was provided. The assessment of the geometric parameters of the femoral epiphysis indicated the greatest risk of a varus fracture of the neck if the angle of the minimal resistance zone (AMRZ) index > 24° and the neck-shaft angle (NSA) < 127.5°. In contrast, the minimum risk was observed at AMRZ < 14° and NSA > 128.87°.CONCLUSIONThe proposed method provides the potential femur neck fracture risk based on geometric parameters.

Employing deep learning for lung sounds classification

Respiratory diseases indicate severe medical problems. They cause death for more than three million people annually according to the world health organization (WHO). Recently, with corona virus disease 19 (COVID-19) spreading the situation has become extremely serious. Thus, early detection of infected people is very vital in limiting the spread of respiratory diseases and COVID-19. In this paper, we have examined two different models using convolution neural networks. Firstly, we proposed and build a convolution neural network (CNN) model from scratch for classification the lung breath sounds. Secondly, we employed transfer learning using the pre-trained network AlexNet applying on the similar dataset. Our proposed model achieved an accuracy of 0.91 whereas the transfer learning model performing much better with an accuracy of 0.94.

Post-Traumatic Stress Disorder and Associated Factors among Caregivers of Patients with COVID-19 in Saudi Arabia: A Cross-sectional Study

Background: One of psychological disorders caused by catastrophic life events or severe medical problems is the incidence of post-traumatic stress disorder among people. Different sociodemographic factors have been associated with the development of post-traumatic stress disorder (PTSD). Such research is lacking with COVID-19 especially in the Saudi context.&#x0D; Aim: The purpose of this study was to determine factors associated with PTSD during the outbreak of COVID-19.&#x0D; Materials and Methods: This cross-sectional study was conducted on a convenience sample of 92 Saudi citizens, living in Saudi Arabia, and had at least one relative who had been diagnosed with COVID-19. Data were collected using the impact of event scale (IES-R). SPSS was used to run a multiple linear regression analysis.&#x0D; Results: The results revealed that participants suffered from a partial PTSD. The regression analysis showed a significant relationship between participants’ characteristics and PTSD. The model explained 13.9% of the variance of PTSD (F [5, 77] = 2.49, R2 =.139, p&lt; .05). Two predictors of gender (p&lt;.01) and level of education (p&lt;.05) were statistically significant to the prediction. Male participants had higher PTSD scores than female participants (beta = -9.19, t = -2.73, p&lt; .01). Also, those caregivers with low level of education had higher PTSD levels (beta = 3.279, t = 2.30, p &lt;.05).&#x0D; Conclusion: The current study demonstrated a strong association between participants’ demographic characteristics (namely gender and level of education) and PTSD. A lack of information and the evolution of the COVID-19 outbreak may be important factors in increasing people’s levels of PTSD. Therefore, future research aiming to find appropriate solutions to such issues is recommended.

Exosomes Immunity Strategy: A Novel Approach for Ameliorating Intervertebral Disc Degeneration.

Low back pain (LBP), which is one of the most severe medical and social problems globally, has affected nearly 80% of the population worldwide, and intervertebral disc degeneration (IDD) is a common musculoskeletal disorder that happens to be the primary trigger of LBP. The pathology of IDD is based on the impaired homeostasis of catabolism and anabolism in the extracellular matrix (ECM), uncontrolled activation of immunologic cascades, dysfunction, and loss of nucleus pulposus (NP) cells in addition to dynamic cellular and biochemical alterations in the microenvironment of intervertebral disc (IVD). Currently, the main therapeutic approach regarding IDD is surgical intervention, but it could not considerably cure IDD. Exosomes, extracellular vesicles with a diameter of 30–150 nm, are secreted by various kinds of cell types like stem cells, tumor cells, immune cells, and endothelial cells; the lipid bilayer of the exosomes protects them from ribonuclease degradation and helps improve their biological efficiency in recipient cells. Increasing lines of evidence have reported the promising applications of exosomes in immunological diseases, and regarded exosomes as a potential therapeutic source for IDD. This review focuses on clarifying novel therapies based on exosomes derived from different cell sources and the essential roles of exosomes in regulating IDD, especially the immunologic strategy.

Potential Benefits of a 6-Week Exercise and Mindfulness-Based Telehealth Training for HCT Survivors to Meet the Challenges of the COVID-19 Pandemic - a Feasibility Study

Background: Impairment of quality of life (QOL) such as reduced physical fitness and psycho-social dysfunction, is a recognized late effect of HCT, a life-saving procedure. Guided exercise and mindfulness-based stress management (MBSM) programs, delivered alone or in combination, have shown promise in improving patient's QOL mainly in the inpatient setting. Delivery of equitable and effective interventions in outpatient settings is challenging but may be addressed via telecommunication technology, reducing clinic visits and infection transmission. The aim of this study is to examine the feasibility and efficacy of a virtual and home-based program of combined exercise and MBSM via videoconference.Methods: Patients attending our post-HCT outpatient clinic were invited to participate (SVH HREC approval 12/175). Eligibility criteria included aged 18-75 years, >6 months post allogeneic HCT and the basic skills to access the online training and assessment packages. Patients with severe medical and psychological problems were excluded by their clinicians. Consented participants attended an initial in-person introductory session and were provided materials including booklet and audio recordings for skill practice. This was followed by once weekly exercise and MBSM training for 6 weeks via videoconferencing. Assessments were performed pre, and then virtually post training, and at 3, 6 and 12 months. Assessment session included: 6-minute walk test (6-MWT), Modified Bruce Test (MBT), sit-to-stand (STS), hand grip strength (HGS). Subjective measures were Goal Attainment Scale, Karnofsky Score, FACT-BMT, Pittsburgh Sleep Quality Index, Hospital Anxiety and Depression Scale, and Godin-Shephard Leisure Time Index. Linear mixed-effects model was used for outcome comparisons. This maximum likelihood approach utilizes all acquired data points and manages missing data points by missing at random (MAR) assumption. P values were adjusted using Holm-Sidak method for multiple comparisons.Results: Twenty-four eligible patients responded to the invitation and completed the program (54% male, median age 53 years (33 - 73), median time post-HCT of 37 months (13 - 68), 38% rural/remote). Based on participant feedback surveys at 6 months, this combined modality telehealth program was found to be well-accepted and safe.The 6-MWT scores were significantly higher at 3 and 12 months (M=646.5m, SD=53.34 and M=615.33m, SD= 94.95, respectively; both p < 0.01) compared to baseline (M=566.94, SD=145.22). The MBT, the only test that required participants to attend the clinic was ceased after 3 months as changes in 6-MWT paralleled changes in MBT. STS Test was significantly higher at 3 and 12 months (M=19.53, SD=6.93, p<0.01 and M=19.07 SD= 8.0; both p < 0.05) compared to baseline (M=15.14, SD=6.44). For the upper limb assessment, dominant hand grip was significantly stronger at 3, and 12 months (M=35.09, SD=9.83; p< 0.01) compared to baseline (M=29.07, SD=9.79). A significantly higher FACT-BMT total and FACT-G scores were found at 3 months (M=123.37, SD=15.12 and M=91.23, SD=11.76; p< 0.01) compared to baseline (M=116.44, SD=14.16 and M=88.25, SD=12.52 respectively), and a trend non-significant at 12 months.Conclusion: A 6-week internet and home-based exercise and MBSM programme was an acceptable, safe, and potentially effective intervention for sustained improvement of some QOL outcomes in HCT survivors. The positive findings of this feasibility study provided valuable data for the design of a multicentre RCT that is underway . DisclosuresNo relevant conflicts of interest to declare.

Diagnosis of Medical Images Using Cloud-Deep Learning System

Diagnosis of brain tumors is one of the most severe medical problems that affect thousands of people each year in the United States. Manual classification of cancerous tumors through examination of MRI images is a difficult task even for trained professionals. It is an error-prone procedure that is dependent on the experience of the radiologist. Brain tumors, in particular, have a high level of complexity. Therefore, computer-aided diagnosis systems designed to assist with this task are of specific interest for physicians. Accurate detection and classification of brain tumors via magnetic resonance imaging (MRI) examination is a famous approach to analyze MRI images. This paper proposes a method to classify different brain tumors using a Convolutional Neural Network (CNN). We explore the performance of several CNN architectures and examine if decreasing the input image resolution affects the model's accuracy. The dataset used to train the model has initially been 3064 MRI scans. We augmented the data set to 8544 MRI scans to balance the available classes of images. The results show that the design of a suitable CNN architecture can significantly better diagnose medical images. The developed model classification performance was up to 97\% accuracy.

Adsorption of reduced chromium(VI) ions by vitamin C tablets onto a tellurato‐functionalized cellulose derivative and its composite with Cyanobacteria green algae in aqueous media

AbstractThe removal of toxic chromium(VI) ions from wastewaters in the environment are of considerable importance throughout the world as these ions are known to cause severe medical problems in living organisms. This article describes a novel reduction process for Cr(VI) ions to the less toxic Cr(III) ions in typical wastewaters by using ecofriendly vitamin C tablets as a source of ascorbic acid, which completely reduces Cr(VI) to Cr(III) ions. The efficient adsorption of reduced Cr(VI) ions onto cellulose functionalized with sodium‐tellurate, Cell‐TeO(OH)4(ONa)/Cell‐Cl {Cell‐Te}, both in the absence and the presence of Cyanobacteria green algae (CBGA), has been accomplished. This green algae has polysaccharide binding groups that enhance the adsorption of heavy metal ions. The uptake of reduced Cr(VI) ions by the two sorbents are dependent on the initial pH, contact time, temperature, presence of foreign ions, sorbent dose, and initial Cr(VI) ion concentration. The maximum uptakes of reduced Cr(VI) ions by {Cell‐Te} and Cell‐TeO(OH)4(ONa)/Cell‐Cl:CBGA; 3:2 w/w {Cell‐Te‐CBGA} are 56.5 and 88.7 mg g−1, respectively. The hydroxyl and amide groups on the surface of the CBGA most probably play a significant role in facilitating the adsorption capacities of the two sorbents toward Cr(VI) ions.

Impact of Current Pain Status on Low-Barrier Buprenorphine Treatment Response Among Patients with Opioid Use Disorder.

Chronic non-cancer pain (CNCP) is prevalent among individuals with opioid use disorder (OUD). However, the impact of CNCP on buprenorphine treatment outcomes is largely unknown. In this secondary analysis, we examined treatment outcomes among individuals with and without CNCP who received a low-barrier buprenorphine maintenance regimen during waitlist delays to more comprehensive opioid treatment. Participants were 28 adults with OUD who received 12 weeks of buprenorphine treatment involving bimonthly clinic visits, computerized medication dispensing, and phone-based monitoring. At intake and monthly follow-up assessments, participants completed the Brief Pain Inventory, Beck Anxiety Inventory, Beck Depression Inventory (BDI-II), Brief Symptom Inventory (BSI), Addiction Severity Index, and staff-observed urinalysis. Participants with CNCP (n = 10) achieved comparable rates of illicit opioid abstinence as those without CNCP (n = 18) at weeks 4 (90% vs 94%), 8 (80% vs 83%), and 12 (70% vs 67%) (P = 0.99). Study retention was also similar, with 90% and 83% of participants with and without CNCP completing the 12-week study, respectively (P = 0.99). Furthermore, individuals with CNCP demonstrated significant improvements on the BDI-II and Global Severity Index subscale of the BSI (P < 0.05). However, those with CNCP reported more severe medical problems and smaller reductions in legal problems relative to those without CNCP (P = 0.03). Despite research suggesting that chronic pain may influence OUD treatment outcomes, participants with and without CNCP achieved similar rates of treatment retention and significant reductions in illicit opioid use and psychiatric symptomatology during low-barrier buprenorphine treatment.

Janapadadwamsa, Aupsargik roga and COVID-19 correlation and an approach to epidemics Ayurved current scenario

Ayurveda – the nectar of ancient disease curing system exists since Vedic period s full of heritage and ts antiquity s well-known. Ayurveda s deals with cure and maintain health through its remarkable potency, viral infections are liable for many illnesses, and up to date, outbreaks have raised public health concerns. Despite the supply of the many antiviral drugs, they're often unsuccessful thanks to the generation of viral mutants and fewer effective against their target virus. Identifying novel antiviral drugs is therefore of critical importance, and natural products are a superb source for such discoveries. Viruses pose a worldwide threat and add severe medical and social problems to humanity. They are the main contributors in many minor and major outbreaks, epidemics and pandemics worldwide like Swine Influenza, Avian Influenza, and Dengue fever. Even though various types of treatment methods are available to cure viral diseases, like chemotherapy, but owing to their potential for mutation and emergence of new strains and developing resistance towards drugs, Viruses are evolving fast. This necessitates the look for new antiviral compounds that are stiffer and effective against viruses with no or less adverse side effects the concept and treatment line must be going through the Ayurved. Some Home Remedies such as Eat Guduchi or Tulsi daily can increase your immunity. Drinking Turmeric milk is suitable for the upkeep of health. Taking Ashwagandha is one of another herb for fighting with such conditions. Eating 1-2 leaves of Neem also can work well within the prevention of viral infections.