Exploring pathogenic pathways in carpal tunnel syndrome: sterile inflammation and oxidative stress.

OBJECTIVES: The main objective of the current study was to find the association between oxidative stress, inflammatory markers, and electrophysiological profile with symptom severity in patients of carpal tunnel syndrome (CTS). METHODS: Thirty-two carpal tunnel syndrome patients and 32 controls were included in the study. Boston CTS questionnaire along with plasma oxidative stress markers including superoxide dismutase, malondialdehyde, and nitric oxide and inflammatory markers including IL-6 and TNF-α were compared with the electrophysiological parameters derived from nerve conduction studies. Statistical significance of the levels between groups was calculated using unpaired-t test after checking for normality with D'Agostino & Pearson omnibus normality test. RESULTS: We found that the median nerve conduction velocity was prolonged, amplitude was decreased, while the levels of oxidative stress markers like malondialdehyde (MDA), superoxidase dismutase (SOD), and nitric oxide (NO) were increased in CTS patients compared to controls. Inflammatory markers like interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) were also increased in CTS patients. We found that plasma SOD and TNF-α correlated well with the median motor amplitude. There was no other significant correlation between oxidative stress markers and inflammatory markers with nerve conduction studies or disease severity. Patients with mild disease also showed lesser levels of SOD, NO, IL-6, and TNF-α markers than patients with severe disease. CONCLUSIONS: CTS is probably a disease of sterile inflammation and disbalance of oxidative stress, with higher inflammatory and oxidative stress markers pointing to a more severe disease.

Novel Therapeutic Strategies of Non-Invasive Brain Stimulation and Nanomedicine in Pediatric Cerebral Palsy Patients.

Infantile central palsy (CP) is caused due to damage to the immature developing brain usually before birth, leading to altered topography and biochemical milieu. CP is a life-limiting disorder, which causes changes in sensory, motor, cognitive, and behavioral functioning. Understanding its pathophysiology is complex, and current therapeutic modalities, oral medication, surgical treatment, physical therapy, and rehabilitation provide minimal relief. As the brain is plastic, it has an inherent capacity to adapt to altered activity; thus, non-invasive brain stimulation (NIBS) strategies, like repetitive transcranial magnetic stimulation, which can modulate the neuronal activity and its function, may lead to recovery in CP patients. Further, in recent years, nanomedicine has shown a promising approach in pre-clinical studies for the treatment of central nervous system disorder because it can cross the blood-brain barrier, improve penetration, and provide sustained release of the drug. The review focuses on the principles and mechanisms of various NIBS techniques used in CP. We have also contemplated the effect of rehabilitation and nanomedicine in CP children, which will definitely lead to advancing our diagnostic as well as therapeutic abilities, in a vulnerable group of little ones.

Effect of an Integrated Physiotherapy Protocol on Knee Osteoarthritis Patients: A Preliminary Study.

BACKGROUND: Exercise therapy can potentially relieve symptoms and improve functional status of the knee osteoarthritis population. Despite the proved practical benefits, there is no standard, comprehensive physiotherapeutic protocol available targeting the physical and physiological impairment cluster associated with disease. Osteoarthritis is a whole joint disease, affecting joint cartilage, ligaments, menisci and joint associated muscles, from variable pathophysiological processes. Hence, there is a need to develop a physiotherapy protocol to address the multi-structural physical, physiological and functional impairments associated with the disease. OBJECTIVE: The objective of the present study is to evaluate the efficacy of designed, therapist supervised, patient education, progressive resistance exercises, passive stretching exercises, soft tissue manipulation, muscle energy technique, Maitland mobilization, aerobic exercise, and neuromuscular training physiotherapy protocol on pain, disability, balance, and physical functional performance in knee osteoarthritis patients. METHODOLOGY: The preliminary study was conducted on a (n = 60) sample of convenience. The samples were randomly allocated into two study groups, intervention, and control group. The control group was advised on a basic home program. On the other hand, the treatment of the intervention group was designed with a therapist supervised Physiotherapy Protocol. The outcome variables studied were the Visual Analogue Scale, Modified WOMAC Scale, Timed Up and Go Test, Functional Reach Test, 40 m Fast Paced Walk Test, Stair Climb Test, 30 s Chair Stand Test. RESULTS: The results of the study revealed a significant improvement among most of the studied outcome measures in the intervention group, hence the designed supervised physiotherapy protocol was found effective in relieving multiple physiological impairments associated with this whole joint disease.

Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study.

Objective: The aim of this study was to observe the secondary infection rate and transmission dynamics of COVID-19 among household contacts, and their associations with various factors across four dimensions of interaction. Methods: This was a case-ascertained study among unvaccinated household contacts of a laboratory-confirmed COVID-19 case in New Delhi between December 2020 and July 2021. For this study, 99 index cases and their 316 household contacts were interviewed and sampled (blood and oro-nasal swab) on days 1, 7, 14, and 28. Results: The secondary infection rate among unvaccinated household contacts was 44.6% (95% confidence interval (CI) 39.1-50.1). The predictors of secondary infection among individual contact levels were: being female (odds ratio (OR) 2.13), increasing age (OR 1.01), symptoms at baseline (OR 3.39), and symptoms during follow-up (OR 3.18). Among index cases, age of the primary case (OR 1.03) and symptoms during follow-up (OR 6.29) were significantly associated with secondary infection. Among household-level and contact patterns, having more rooms (OR 4.44) and taking care of the index case (OR 2.02) were significantly associated with secondary infection. Conclusion: A high secondary infection rate highlights the need to adopt strict measures and advocate COVID-19-appropriate behaviors. A targeted approach for higher-risk household contacts would efficiently limit infections among susceptible contacts.

How FDI and technology innovation mitigate CO2 emissions in high-tech industries: evidence from province-level data of China.

The high technology (high-tech) industry of China has gained a key strategic position in the Chinese economic goals. In this positioning, foreign direct investment (FDI) and technological innovation have emerged as strong pillars of the high-tech industry. However, there are growing concerns of carbon emission from this industry which is still debatable. In this context, this study measures the effect of FDI and technology innovation on carbon emissions in the high-tech industry from 28 provinces of China. The study uses the provincial data for China over the period 2000-2018. In addition to examining unit root properties, structural breaks, and cointegration, this study uses quantile regression for estimating long-run relationships among study variables. The findings reveal the negative impact of FDI on carbon emissions. Technology innovation positively impacts in the initial three quantiles, whereas negatively impacts in the next six quantiles. These results indicate that FDI and technology innovation have shaped the energy intensity in the high-tech industry, which causes fluctuation in carbon emissions over time. After controlling the effects of urbanization, energy intensity, and economic growth, this study recommends that policymakers should emphasize on the heterogeneous effects of FDI and technology-lead emissions at different quantiles during the process of CO2 emission reduction.

COVID-19 Pandemic and Vaccines Update on Challenges and Resolutions.

The coronavirus disease (COVID-19) is caused by a positive-stranded RNA virus called severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), belonging to the Coronaviridae family. This virus originated in Wuhan City, China, and became the cause of a multiwave pandemic that has killed 3.46 million people worldwide as of May 22, 2021. The havoc intensified with the emergence of SARS-CoV-2 variants (B.1.1.7; Alpha, B.1.351; Beta, P.1; Gamma, B.1.617; Delta, B.1.617.2; Delta-plus, B.1.525; Eta, and B.1.429; Epsilon etc.) due to mutations generated during replication. More variants may emerge to cause additional pandemic waves. The most promising approach for combating viruses and their emerging variants lies in prophylactic vaccines. Several vaccine candidates are being developed using various platforms, including nucleic acids, live attenuated virus, inactivated virus, viral vectors, and protein-based subunit vaccines. In this unprecedented time, 12 vaccines against SARS-CoV-2 have been phased in following WHO approval, 184 are in the preclinical stage, and 100 are in the clinical development process. Many of them are directed to elicit neutralizing antibodies against the viral spike protein (S) to inhibit viral entry through the ACE-2 receptor of host cells. Inactivated vaccines, to the contrary, provide a wide range of viral antigens for immune activation. Being an intracellular pathogen, the cytotoxic CD8+ T Cell (CTL) response remains crucial for all viruses, including SARS-CoV-2, and needs to be explored in detail. In this review, we try to describe and compare approved vaccines against SARS-CoV-2 that are currently being distributed either after phase III clinical trials or for emergency use. We discuss immune responses induced by various candidate vaccine formulations; their benefits, potential limitations, and effectiveness against variants; future challenges, such as antibody-dependent enhancement (ADE); and vaccine safety issues and their possible resolutions. Most of the current vaccines developed against SARS-CoV-2 are showing either promising or compromised efficacy against new variants. Multiple antigen-based vaccines (multivariant vaccines) should be developed on different platforms to tackle future variants. Alternatively, recombinant BCG, containing SARS-CoV-2 multiple antigens, as a live attenuated vaccine should be explored for long-term protection. Irrespective of their efficacy, all vaccines are efficient in providing protection from disease severity. We must insist on vaccine compliance for all age groups and work on vaccine hesitancy globally to achieve herd immunity and, eventually, to curb this pandemic.

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs.

BACKGROUND: COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for prevention relies on the detection of COVID-19-positive cases through quick and accurate testing. Since artificial intelligence (AI) offers the powerful mechanism to automatically extract the tissue features and characterise the disease, we therefore hypothesise that AI-based strategies can provide quick detection and classification, especially for radiological computed tomography (CT) lung scans. METHODOLOGY: Six models, two traditional machine learning (ML)-based (k-NN and RF), two transfer learning (TL)-based (VGG19 and InceptionV3), and the last two were our custom-designed deep learning (DL) models (CNN and iCNN), were developed for classification between COVID pneumonia (CoP) and non-COVID pneumonia (NCoP). K10 cross-validation (90% training: 10% testing) protocol on an Italian cohort of 100 CoP and 30 NCoP patients was used for performance evaluation and bispectrum analysis for CT lung characterisation. RESULTS: Using K10 protocol, our results showed the accuracy in the order of DL > TL > ML, ranging the six accuracies for k-NN, RF, VGG19, IV3, CNN, iCNN as 74.58 ± 2.44%, 96.84 ± 2.6, 94.84 ± 2.85%, 99.53 ± 0.75%, 99.53 ± 1.05%, and 99.69 ± 0.66%, respectively. The corresponding AUCs were 0.74, 0.94, 0.96, 0.99, 0.99, and 0.99 (p-values < 0.0001), respectively. Our Bispectrum-based characterisation system suggested CoP can be separated against NCoP using AI models. COVID risk severity stratification also showed a high correlation of 0.7270 (p < 0.0001) with clinical scores such as ground-glass opacities (GGO), further validating our AI models. CONCLUSIONS: We prove our hypothesis by demonstrating that all the six AI models successfully classified CoP against NCoP due to the strong presence of contrasting features such as ground-glass opacities (GGO), consolidations, and pleural effusion in CoP patients. Further, our online system takes < 2 s for inference.

Uterine rupture: a review of 34 cases at Ayub Teaching Hospital Abbottabad.

BACKGROUND: Uterine rupture is a deadly obstetrical emergency endangering the life of both mother and fetus. This descriptive study was conducted to determine the frequency of ruptured uterus at Ayub Teaching Hospital Abbottabad and to elicit possible causes/reasons of ruptured uterus. METHODS: The study was conducted at the department of Obstetrics & Gynaecology, Ayub Teaching Hospital, Abbottabad, Pakistan over a period of one year from July 1st, 2001 to June 30th, 2002. All cases of uterine rupture presenting during the study period were recorded and managed in the department using a protocol prepared for the purpose of this study. Data was recorded on pre-designed Proforma. RESULTS: There were 34 cases of ruptured uterus out of a total of 3435 deliveries (including 1128 Caesarian sections) over a one-year time period (incidence of 1/100 deliveries) with 31 intra-partum deaths. The most common age group was from 31-35 years (16/34, 47%), followed by the 26-30 years age group (13/34, 38.2%). A majority (29/34, 85.3%) were cases of unscarred uterus presenting with rupture; the most common cause of rupture in all cases was inappropriate injections of Oxytocin (11/34, 32.35%), followed by obstructed labour (9/34, 26.5%). All were anemic and most of them were in shock. CONCLUSION: The leading cause of ruptured uterus was found to be mismanagement by traditional birth attendants. We can reduce maternal mortality due to rupture uterus by giving proper training to traditional birth attendants and by mass education through electronic media.