Statins As Anti-Hypertensive Therapy: A Systematic Review and Meta-Analysis.

Hypertension is the most prevalent condition in clinical practice. Hypertension, diabetes, and hypercholesterolaemia are major contributing factors to cardiovascular diseases. They commonly coexist in a single patient. Statins have been used as prominent medicines for the reduction of cardiovascular events. Statins have been shown to reduce blood pressure in patients with hypertension and have lipid-lowering properties in recent articles. Statins reduce blood pressure because of their impact on endothelial function, their interactions with the renin-angiotensin system, and their influence on major artery compliance. This meta-analysis aimed to ascertain the effectiveness and efficacy of statins for managing hypertension in patients with hypertension. Systematic searches were conducted on PubMed, Science Direct, Embase, Cochrane Library, and Google Scholar. Randomized controlled trials, systematic trials, and cohort studies were retrieved using keywords on statins and their use in patients with hypertension. Exclusion criteria included studies that were not in the English language, studies that did not include patients on statins with hypertension, studies that did not provide enough information, technical reports, opinions, or editorials, and studies involving patients < 18 years old. The inclusion criteria were randomized controlled trials, meta-analyses, adult patients aged > 18 years old, and studies that were freely available or through institutional login. This meta-analysis scrutinized 9361 randomized controlled trials, clinical trials, meta-analyses, and systematic reviews, of which 32 articles including 25 randomized controlled trials and seven meta-analyses were included in the final analysis. This meta-analysis of the role of statins in hypertensive patients aimed to determine the outcome of hypertension control along with antihypertensive medication. Our study showed that statins are useful in reducing both systolic and diastolic blood pressure. We used a heterogeneous model for analysis due to variations in the study characteristics. The I2 value was 0.33 (0.76, 0.10) for systolic blood pressure and 0/88 (0.86, 0.90) for diastolic blood pressure. The I2 value for the seven meta-analyses included in the study was 1.79 (2.88, 0.69).

Stimulatory effects of smoke solution and biogas digestate slurry application on photosynthesis, growth, and methylation profiling of solanum tuberosum.

Biostimulants are obtained from various sources like plants, animals, microorganisms, and industrial by-products as well as waste material. Their utilization in agriculture practices is being increased that is giving positive results. The purpose of the current study was to use plant-derived smoke (SMK) solution and biogas digestate (BGD) slurry as biostimulant to elucidate their impact on potato (Solanum tuberosum) performance. The experiment was conducted in lab as well as field conditions, and SMK and BGD solutions were prepared in varying concentrations such as SMK 1:500, SMK 1:250, BGD 50:50, and BGD 75:25. Foliar applications were performed thrice during experiments and data were collected related to photosynthesis, growth, pigments, and genome-wide methylation profiling. Net photosynthesis rate (A) and water use efficiency (WUE) were found higher in SMK- and BGD-treated lab and field grown plants. Among pigments, BGD-treated plants depicted higher levels of Chl a and Chl b while SMK-treated plants showed higher carotenoid levels. Alongside, enhancement in growth-related parameters like leaf number and dry weight was also observed in both lab- and field-treated plants. Furthermore, DNA methylation profile of SMK- and BGD-treated plants depicted variation compared to control. DNA methylation events increased in all the treatments compared to control except for SMK 1:500. These results indicate that smoke and slurry both act as efficient biostimulants which result in better performance of plants. Biostimulants also affected the genome-wide DNA methylation profile that resultantly might have changed the plant gene expression profiling and played its role in plant responsiveness to these biostimulants. However, there is need to elucidate a possible synergistic effect of SMK and BGD on plant growth along with gene expression profiling.

The Role of MRI Scan in Sports-Related Anterior Cruciate Ligament Injuries: A Case Report-Based Literature Review.

Sports-related knee injuries are a common presentation in general practice in Australia among patients of the adolescent age group. A complete understanding of the anatomy, mechanism of injury, history, focused clinical examination of the knee joint, and proper investigations can help make a proper diagnosis. Injuries can be prejudicial to ligaments, tendons, muscles, and bones. Here, we present a case of rupture of the anterior cruciate ligament (ACL) following a fall while playing football. The patient visited the emergency department where an initial radiography was performed, which was unremarkable, and was consequently discharged from the emergency department on painkillers. Later, he presented with swelling and worsening pain in general practice, and magnetic resonance imaging (MRI) confirmed a diagnosis of ACL rupture. Therefore, he was referred to an orthopedic surgeon for further treatment and management. The patient was managed conservatively and underwent physiotherapy.

Osteosarcoma in a Teenage Athlete With a Swollen Knee Joint.

Osteosarcoma is a malignant mesenchymal tumour. This primarily manifests in the formation of immature osteoid cells by tumour cells. Osteosarcoma is the most common primary bone tumour in children and adolescents. It tends to occur in the metaphysis of long shafts, shows osteoblastic differentiation, and produces malignant osteoid material. We present the case of a 17-year-old male who presented to our clinic who had left knee pain for a few days. An initial radiograph of the knee joint revealed a lytic lesion in the proximal tibia and further imaging was advised. During a follow-up visit, the patient had worsening pain and had a computerized tomography scan of the left knee, confirming osteosarcoma on the lateral side of the left tibia. He was referred to the orthopaedic department, where a biopsy was performed, to confirm the diagnosis of osteosarcoma. The patient was commenced on chemotherapy due to metastatic disease and has so far tolerated therapy well.

Aberrant Left Coronary Artery Origin in a Patient Presenting With Acute Coronary Syndrome.

A congenital anomalous origin of the coronary artery is a rare cardiovascular malformation that includes the left circumflex artery arising from the right sinus of Valsalva (RSV), both coronary arteries arising from RSV, the left anterior descending (LAD) artery arising from the respiratory sinus arrhythmia, and a single coronary artery arising from the left sinus of Valsalva. We present the case of a 72-year-old patient presenting with chest pain to his local hospital while cycling. Troponin levels peaked from 90 to 360 ng/L, and electrocardiography showed normal sinus rhythm and left bundle branch block. Echocardiography showed good left ventricular function with an ejection fraction of 55% and no regional wall motion abnormalities. The patient underwent coronary angiography, which revealed a severe proximal right coronary artery (RCA) lesion and an aberrant LAD artery. He underwent primary percutaneous coronary angioplasty of the RCA and was discharged home with dual antiplatelet therapy and high-dose statins. CT coronary angiography revealed an aberrant LAD and patent RCA stent with mild to moderate disease in the distal vessel, and he was reviewed in the outpatient clinic.

A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing.

Semantic segmentation of Remote Sensing (RS) images involves the classification of each pixel in a satellite image into distinct and non-overlapping regions or segments. This task is crucial in various domains, including land cover classification, autonomous driving, and scene understanding. While deep learning has shown promising results, there is limited research that specifically addresses the challenge of processing fine details in RS images while also considering the high computational demands. To tackle this issue, we propose a novel approach that combines convolutional and transformer architectures. Our design incorporates convolutional layers with a low receptive field to generate fine-grained feature maps for small objects in very high-resolution images. On the other hand, transformer blocks are utilized to capture contextual information from the input. By leveraging convolution and self-attention in this manner, we reduce the need for extensive downsampling and enable the network to work with full-resolution features, which is particularly beneficial for handling small objects. Additionally, our approach eliminates the requirement for vast datasets, which is often necessary for purely transformer-based networks. In our experimental results, we demonstrate the effectiveness of our method in generating local and contextual features using convolutional and transformer layers, respectively. Our approach achieves a mean dice score of 80.41%, outperforming other well-known techniques such as UNet, Fully-Connected Network (FCN), Pyramid Scene Parsing Network (PSP Net), and the recent Convolutional vision Transformer (CvT) model, which achieved mean dice scores of 78.57%, 74.57%, 73.45%, and 62.97% respectively, under the same training conditions and using the same training dataset.

COVID-19 vaccine coverage, determinants and inequity amongst refugees and migrants in Pakistan: a cross-sectional study.

OBJECTIVE: Migrants and refugees are at a disadvantage in accessing basic necessities. The objective of this study is to assess the inequity in access, needs and determinants of COVID-19 vaccination among refugees and migrant populations in Pakistan. DESIGN: We conducted a mixed-method study comprising a cross-sectional survey and a qualitative study. In this paper, we will only report the findings from the cross-sectional survey. SETTING: This survey was conducted in different cities of Pakistan including Quetta, Karachi and Hyderabad. PARTICIPANTS: A total of 570 participants were surveyed including refugees and migrants, both in regular and irregular situations. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome of the study was to estimate the proportion of refugees and migrants, both in regular and irregular situations vaccinated against COVID-19 and assess the inequity. The χ2 test and Fisher's exact test were used to determine the significant differences in proportions between refugees and migrants and between regions. RESULTS: The survey showed that only 26.9% of the refugee and migrant population were tested for COVID-19, 4.56% contracted coronavirus, and 3.85% were hospitalised due to COVID-19. About 66% of the refugees and migrants were fully vaccinated including those who received the single-dose vaccine or received all two doses, and 17.6% were partially vaccinated. Despite vaccination campaigns by the government, 14.4% of the refugee and migrant population remained unvaccinated mostly because of vaccines not being offered, distant vaccination sites, limited access, unavailability of COVID-19 vaccine or due to a difficult registration process. Vaccination rates varied across provinces, genders and migrant populations due to misconceptions, and several social, cultural and geographical barriers. CONCLUSION: This study highlights the COVID-19 vaccine coverage, access and inequity faced by refugees and migrants during the pandemic. It suggests early prioritisation of policies inclusive of all refugees and migrants and the provision of identification documents to ease access to basic necessities.

Annual risk of hepatitis E virus infection and seroreversion: Insights from a serological cohort in Sitakunda, Bangladesh.

Hepatitis E virus (HEV) is a major cause of acute jaundice in South Asia. Gaps in our understanding of transmission are driven by non-specific symptoms and scarcity of diagnostics, impeding rational control strategies. In this context, serological data can provide important proxy measures of infection. We enrolled a population-representative serological cohort of 2,337 individuals in Sitakunda, Bangladesh. We estimated the annual risks of HEV infection and seroreversion both using serostatus changes between paired serum samples collected 9 months apart, and by fitting catalytic models to the age-stratified cross-sectional seroprevalence. At baseline, 15% (95 CI: 14-17%) of people were seropositive, with seroprevalence highest in the relatively urban south. During the study, 27 individuals seroreverted (annual seroreversion risk: 15%, 95 CI: 10-21%), and 38 seroconverted (annual infection risk: 3%, 95CI: 2-5%). Relying on cross-sectional seroprevalence data alone, and ignoring seroreversion, underestimated the annual infection risk five-fold (0.6%, 95 CrI: 0.5-0.6%). When we accounted for the observed seroreversion in a reversible catalytic model, infection risk was more consistent with measured seroincidence. Our results quantify HEV infection risk in Sitakunda and highlight the importance of accounting for seroreversion when estimating infection incidence from cross-sectional seroprevalence data.

Surgical management of idiopathic acute cervical kyphosis; A case-based review of an extremely rare entity.

INTRODUCTION AND IMPORTANCE: Acute idiopathic cervical kyphosis (AICK) represents a rare entity, and its management remains controversial. Preoperative surgical planning and individual decision-making seem necessary. To date, there is a lack of sufficient evidence and clear guidelines. CASE PRESENTATION: A 21-year-old male was referred with a progressive cervical deformity detected 3 months earlier. The patient suffered from severe progressive myelopathy and represented neither neck trauma nor a familial history of similar expected conditions. His cervical imaging revealed 95 degrees of cervical kyphosis. After 3 separate surgical sessions for 360-degree fixation, the cervical kyphosis was reduced by 90 degrees. No facet dislocation was observed, and laminectomy was unnecessary. Post-operative neurological examination detected significant improvement. Six months and 2-year follow-ups were favorable. To the authors' knowledge, the current case had the most extensive degree of cervical kyphosis reported in the literature. CLINICAL DISCUSSION: Multistage correction of AICK would result in a favorable outcome and reduce the risk of complications. Particular attention should be paid to the wide inter-spinous spaces in high grades of kyphosis during sub-periosteal dissection to prevent iatrogenic spinal cord injuries. CONCLUSION: The present work may provide the first report on the role of cervical postural habits in patients with opiate substance abuse disorder, which could have triggered cervical kyphosis in this particular patient. Multistage correction of AICK would result in a favorable outcome and reduce the risk of complications.

A Retrospective Study on the Outcome of Coronavirus Disease 2019 (COVID-19) Patients Admitted to a District General Hospital and Predictors of High Mortality.

BACKGROUND: The clinical features and severity of coronavirus disease 2019 (COVID-19) vary between patients and countries. Patients with certain conditions are predisposed to poor outcomes compared with those without medical conditions, such as diabetes, dementia, and hypertension (HTN). METHODS: The aim of this retrospective study was to assess factors associated with higher mortality in patients with COVID-19 infections and to identify the reason for hospital admission in these patients. The study was performed on patients admitted between 1 and 31 March 2020. Data collection was done retrospectively from electronic medical records. RESULTS: There were 269 patient admissions during this period, of which 147 were included in this audit. The mean age of COVID-19-positive patients was 62.8 years and 65.9 years for COVID-19-negative patients during this period. Forty-seven patients requiring hospital admission were COVID-19 positive and 93 were COVID-19 negative. There were no COVID-19 swabs in the seven patients included in the audit. Approximately 50% of the COVID-19-positive patients presented with fever and shortness of breath (sob), followed by dyspnea and cough (seven patients). The most common comorbidity was HTN, followed by type 2 diabetes mellitus (T2DM) and ischemic heart disease (IHD). The survival rate was 72.3% in COVID-19-positive patients and 80% in COVID-19-negative patients. The average length of stay was 14.4 days for COVID-19-positive survivors compared to 7.8 days for COVID-19-negative survivors. Most patients who tested positive for COVID-19 infection received oseltamivir vaccination and antibiotics. The presence of HTN, diabetes mellitus (DM), age, and organ failure was associated with a high mortality risk. CONCLUSION: Our study supports the findings of previous studies that diabetes, HTN, coronary artery disease, old age, and organ failure were associated with high mortality in patients admitted to hospitals with COVID-19 infections.

Bronchogenic cyst: a rare cause of palpitations and atrial fibrillation.

Bronchogenic cysts are rare congenital lesions found primarily in the mediastinum. Most patients are asymptomatic and can be treated with minimally invasive resection. We present a case of a middle-aged patient who presented to a district general hospital with palpitations and shortness of breath. She underwent a computerised tomographic pulmonary angiogram that showed a likely bronchogenic cyst and was subsequently transferred to our hospital. She developed atrial fibrillation during admission requiring therapy with beta-blockers and digoxin. Cardiac MRI revealed a large cyst posterior to the left atrium, a moderate circumferential pericardial effusion and bilateral pleural effusions. There was significant left atrial compression. The patient underwent surgical removal of the cyst and was discharged. She returned to the hospital within a week with palpitations and was treated with intravenous antibiotics for sepsis. She was discharged a week later and remained clinically stable.

Recurrent Rhabdomyolysis Induced by a Viral Illness in a Young Patient.

Rhabdomyolysis is a syndrome caused by skeletal muscle disruption that results in the release of muscle proteins into circulation, which can lead to life-threatening systemic complications. These complications include acute kidney injury (AKI), renal failure, compartment syndrome, and disseminated intravascular coagulopathy. Patients commonly present with muscle pain, fatigue, weakness, and dark-colored urine. We present the case of a 37-year-old male who presented to the hospital with pain in the lower limbs and difficulty in mobility for the past two days after returning from Jamaica. He had a mild cold and body aches but denied any sore throat, cough, or shortness of breath (SOB). He tested negative for COVID-19. He had attended his local hospital the previous night, but due to the long waiting time, he presented to the accident and emergency department at our hospital. His physical examination was normal, and his urine was dark in color. All laboratory test results were normal, except for creatinine kinase (CK) levels >100,000 IU/L (reference: 40-320 IU/L) and an alanine transaminase (ALT) level of 376 U/L (reference: 30-130 U/L). Magnetic resonance imaging of both femurs revealed a high signal in multiple muscle compartments bilaterally on a short TI inversion recovery (STIR) sequence. Autoimmune screening results were negative. He had a similar episode last year due to COVID-19 with elevated CK levels. He received conservative treatment with IV fluids and was discharged eight days after hospital admission.

The reactive cholera vaccination campaign in urban Dhaka in 2022: experience, lessons learned and future directions.

Introduction: An upsurge of diarrheal cases occurred in Dhaka, Bangladesh, with approximately 30% of the cases being identified as cholera in 2022. To combat this situation, a reactive Oral Cholera Vaccination campaign was organized in five highly cholera-affected areas of Dhaka city. The paper is a descriptive tale of experience gathering, organization and implementation of reactive oral cholera vaccination campaign. Study design: This is a descriptive report of a reactive oral cholera vaccination campaign. Methods: Population density maps were generated using GIS technology before launching the campaign. The target population comprised individuals aged over one year, excluding pregnant women, totaling 2,374,976 people residing in above mentioned areas. The campaign utilized Euvichol-Plus, an OCV with adherence to the necessary cold chain requirements. Total 700 teams, each consisting of six members, were deployed across the five zones. The campaign was conducted in two rounds, where first round took place in June-July 2022, followed by second round in August 2022. During the campaign, data on adverse events following immunization (AEFI) was collected. Expert teams from various government and non-government organizations monitored regularly and ensured the campaign's success. Results: The first round achieved a coverage rate of 99%, whereas in the second round, 86.3% of individuals among the first dose recipients. During the campaigns, a total of 57 AEFIs were reported. Conclusions: This campaign serves as a model for a multispectral approach in combating cholera epidemics, highlighting the collaborative efforts of policymakers, health authorities, local communities, and health partners.

Clinical surveillance systems obscure the true cholera infection burden in an endemic region.

Our understanding of cholera transmission and burden largely relies on clinic-based surveillance, which can obscure trends, bias burden estimates and limit the impact of targeted cholera-prevention measures. Serological surveillance provides a complementary approach to monitoring infections, although the link between serologically derived infections and medically attended disease incidence-shaped by immunological, behavioral and clinical factors-remains poorly understood. We unravel this cascade in a cholera-endemic Bangladeshi community by integrating clinic-based surveillance, healthcare-seeking and longitudinal serological data through statistical modeling. Combining the serological trajectories with a reconstructed incidence timeline of symptomatic cholera, we estimated an annual Vibrio cholerae O1 infection incidence rate of 535 per 1,000 population (95% credible interval 514-556), with incidence increasing by age group. Clinic-based surveillance alone underestimated the number of infections and reported cases were not consistently correlated with infection timing. Of the infections, 4 in 3,280 resulted in symptoms, only 1 of which was reported through the surveillance system. These results impart insights into cholera transmission dynamics and burden in the epicenter of the seventh cholera pandemic, where >50% of our study population had an annual V. cholerae O1 infection, and emphasize the potential for a biased view of disease burden and infection risk when depending solely on clinical surveillance data.

COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms.

BACKGROUND: COVID-19 is a disease that caused a contagious respiratory ailment that killed and infected hundreds of millions. It is necessary to develop a computer-based tool that is fast, precise, and inexpensive to detect COVID-19 efficiently. Recent studies revealed that machine learning and deep learning models accurately detect COVID-19 using chest X-ray (CXR) images. However, they exhibit notable limitations, such as a large amount of data to train, larger feature vector sizes, enormous trainable parameters, expensive computational resources (GPUs), and longer run-time. RESULTS: In this study, we proposed a new approach to address some of the above-mentioned limitations. The proposed model involves the following steps: First, we use contrast limited adaptive histogram equalization (CLAHE) to enhance the contrast of CXR images. The resulting images are converted from CLAHE to YCrCb color space. We estimate reflectance from chrominance using the Illumination-Reflectance model. Finally, we use a normalized local binary patterns histogram generated from reflectance (Cr) and YCb as the classification feature vector. Decision tree, Naive Bayes, support vector machine, K-nearest neighbor, and logistic regression were used as the classification algorithms. The performance evaluation on the test set indicates that the proposed approach is superior, with accuracy rates of 99.01%, 100%, and 98.46% across three different datasets, respectively. Naive Bayes, a probabilistic machine learning algorithm, emerged as the most resilient. CONCLUSION: Our proposed method uses fewer handcrafted features, affordable computational resources, and less runtime than existing state-of-the-art approaches. Emerging nations where radiologists are in short supply can adopt this prototype. We made both coding materials and datasets accessible to the general public for further improvement. Check the manuscript's availability of the data and materials under the declaration section for access.

Qualitative Assessment of a Smartphone-Based Mobile Health Tool to Guide Diarrhea Management in Bangladesh.

Diarrheal diseases are a major cause of morbidity and mortality in children worldwide and a significant contributor to antimicrobial resistance. In the absence of laboratory diagnostics to establish diarrhea etiology, electronic clinical decision support tools can help physicians make informed treatment decisions for children with diarrhea. In Bangladesh, we assessed the feasibility and acceptability of an electronic Diarrhea Etiology Prediction algorithm (DEP tool) embedded into a rehydration calculator, which was designed to help physicians manage children with diarrhea, including decisions on antibiotic use. A team of Bangladeshi anthropologists conducted in-depth interviews with physicians (N = 13) in three public hospitals in Bangladesh about their experience using the tool in the context of a pilot trial. Physicians expressed positive opinions of the DEP tool. Participants perceived the tool to be simple and easy to use, with structured guidance on collecting and entering clinical data from patients. Significant strengths of the tool were as follows: standardization of protocol, efficiency of clinical decision-making, and improved clinical practice. Participants also noted barriers that might restrict the widespread impact of the tool, including physicians' reluctance to use an electronic tool for clinical decision-making, increasing work in overburdened healthcare settings, unavailability of a smartphone, and patients' preferences for antibiotics. We conclude that an electronic clinical decision support tool is a promising method for improving diarrheal management and antibiotic stewardship. Future directions include developing and implementing such a tool for informal healthcare physicians in low-resource settings, where families may first seek care for pediatric diarrhea.

Lipoprotein(a) and calcific aortic valve disease: current evidence and future directions.

PURPOSE OF REVIEW: Calcific aortic valve disease (CAVD), the most common cause of aortic stenosis (AS), is characterized by slowly progressive fibrocalcific remodelling of the valve cusps. Once symptomatic, severe AS is associated with poor survival unless surgical or transcatheter valve replacement is performed. Unfortunately, no pharmacological interventions have been demonstrated to alter the natural history of CAVD. Lipoprotein(a) [Lp(a)], a low-density lipoprotein-like particle, has been implicated in the pathophysiology of CAVD. RECENT FINDINGS: The mechanisms by which Lp(a) results in CAVD are not well understood. However, the oxidized phospholipids carried by Lp(a) are considered a crucial mediator of the disease process. An increasing number of studies demonstrate a causal association between plasma Lp(a) levels and frequency of AS and need for aortic valve replacement, which is independent of inflammation, as measured by plasma C-reactive protein levels. However, not all studies show an association between Lp(a) and increased progression of calcification in individuals with established CAVD. SUMMARY: Epidemiologic, genetic, and Mendelian randomization studies have collectively suggested that Lp(a) is a causal risk factor for CAVD. Whether Lp(a)-lowering can prevent initiation or slow progression of CAVD remains to be demonstrated.

Sacubitril/Valsartan in the Treatment of Heart Failure With Reduced Ejection Fraction Focusing on the Impact on the Quality of Life: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.

There exists a paucity of research data reported by analyses performed on randomized clinical trials (RCTs) that encompass quality of life (QOL) and the aftermath for patients suffering from heart failure with reduced ejection fraction (HFrEF). This systematic review and meta-analysis of randomized clinical trials (RCTs) have been done to evaluate the drug sacubitril/valsartan in the treatment of heart failure (HF) with reduced ejection fraction (HFrEF) with a clear focus on the effect it bestows on measures of physical exercise tolerance and quality of life. A thorough systematic search was done in databases including Cochrane Central Register of Controlled Trials (CENTRAL), ClinicalTrials.gov, Embase, and PubMed from 1 January 2010 to 1 January 2023. The search only included published RCTs on adult patients aged 18 and above, with heart failure with reduced ejection fraction (HFrEF). Data analysis was performed by using the software RevMan 5.4 (Cochrane Collaboration, London, United Kingdom). The included studies' bias risk was assessed using the Cochrane Collaboration's Risk of Bias tool. The quality of evidence for the primary outcome was done using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework. This systematic review and meta-analysis of RCTs yielded 458 studies, of which eight randomized clinical trials were included and analyzed. The meta-analysis of the included trials shows that the I2 value is 61% (i.e., I2 > 50%), demonstrating a substantial heterogeneity within the studies. The left ventricular ejection fraction (LVEF) expressed in percentage was reported in the five studies, and thereby, a subgroup analysis that yielded a confidence interval (CI) of 95% had the standard mean difference of 0.02 (-0.02, 0.07). The trials had disparity between the reporting of effect on peak oxygen consumption (VO2), measured through cardiopulmonary exercise testing (CPET) methods, six-minute walking test (6MWT), overall physical activity, and exercise capacity. Sacubitril/valsartan did not exponentially improve peak VO2 or 6MWT in these trials; however, the patient-reported data suggested that the quality of life was modestly influenced by the drug. A subgroup analysis was performed using the pooled effect value by the random effects model. The findings showed that the sacubitril/valsartan group significantly was better than the control group in improving HFrEF-associated health-related quality of life (HRQoL). This study is a systematic review and meta-analysis of randomized clinical trials that evaluated the drug sacubitril/valsartan in treating heart failure with reduced ejection fraction (HFrEF) and focused on its tangible effect on the measures of physical exercise tolerance and quality of life. It depicts that the statistical scrutiny due to the lack of significant data and parity across studies did not impart significant improvement of either LVEF, peak VO2, or 6MWT with the use of sacubitril/valsartan; however, the reported exercise tolerance, including daytime physical activity, had a modest impact with the said drug. The pooled values demonstrated that the sacubitril/valsartan group significantly outperformed the control group in improving HFrEF HRQoL.

Synthesis of Spiroisoindolinones via Ru(II)-Catalyzed Spiroannulation of N-Acyl Ketimines with Aryl Isocyanates/Isothiocyanates through Aromatic C-H Bond Activation.

Herein, we disclose the first report on Ru(II)-catalyzed amidation/thioamidation of 3-hydroxy-3-arylisoindolinones with isocyanates/isothiocyanates, respectively. The reaction furnishes spiroisoindolinones via sequential C-H functionalization of ortho C-H bond followed by intramolecular cyclization in moderate to high yields (up to 94%). Moreover, the developed strategy is highly atom-economical and site-selective and shows diverse substrate generality. Also, synthesized spiroisoindolinones undergo several chemical transformations.

ECG Features of Pulmonary Embolism in a Patient With Normal D-Dimer and Hypoxia.

Pulmonary embolism is a life-threatening condition that requires urgent treatment. We present the case of a 76-year-old male referred to our medical team with dyspnoea, shortness of breath on exertion, and chest pain. Upon further questioning, the patient reported a two-week history of right-sided parasternal pleuritic chest pain without radiation. He denied any history of haemoptysis, calf swelling or pain, recent surgery, and reduced mobility. The patient had a medical history of bilateral cataracts, glaucoma, and hypertension. Clinical examination was unremarkable except for requiring 2L/minute supplemental oxygen to maintain an oxygen saturation of 94%, and blood tests were unremarkable, including a normal D-dimer. Chest radiography revealed no obvious pathological findings. However, the electrocardiogram showed a right bundle branch, sinus tachycardia, and an S1Q3T3 pattern. A computed tomography pulmonary angiogram confirmed pulmonary emboli within the right lower lobe segmental artery, extending into the bilateral basal segmental branch and posterior basal segmental branch. The patient was commenced on low molecular weight heparin initially followed by rivaroxaban 20 mg once daily. This case highlights the importance of having a high degree of suspicion for pulmonary embolism, and D-dimer is an important screening test that can be normal.