Infantile hypertrophic pyloric stenosis in monozygotic twins: a case report and review of genetic and modifiable risk factors

Infantile hypertrophic pyloric stenosis is the most common surgical pathology resulting in emesis presenting in infancy and is usually encountered between the second and eighth weeks of life. It is the most common indication for surgery in infants less than 1 month of age. Prior to the pyloromyotomy developed by Ramstedt in 1911, the mortality for the condition exceeded 50%. Current epidemiologic data indicate that the ailment affects between two and five infants per 1000 live births. Despite the incidence of the condition, the etiologic factors, genetic or environmental, have yet to be clearly elucidated. The incidence in twins has been previously described and noted to be nearly 200 times higher in monozygotic twins. The incidence in dizygotic twins is similar to that between siblings, but nearly 30 and 20 times higher than that of the general population, respectively. This observation continues to stress the importance of genetics in the development of pyloric hypertrophy. Presented here are two cases of idiopathic infantile hypertrophic pyloric stenosis in monozygotic twins with a review of the literature of both genetic and environmental predisposing factors.Keywords: genetics, hypertrophic pyloric stenosis, review, risk factors, twin

Defeating the Credit Card Scams Through Machine Learning Algorithms

Credit card fraud is a significant problem that is not going to go away. It is a growing problem and surged during the Covid-19 pandemic since more transactions are done without cash in hand now. Credit card frauds are complicated to distinguish as the characteristics of legitimate and fraudulent transactions are very similar. The performance evaluation of various Machine Learning (ML)-based credit card fraud recognition schemes are significantly pretentious due to data processing, including collecting variables and corresponding ML mechanism being used. One possible way to counter this problem is to apply ML algorithms such as Support Vector Machine (SVM), K nearest neighbor (KNN), Naive Bayes, and logistic regression. This research work aims to compare the ML as mentioned earlier models and its impact on credit card scam detection, especially in situations with imbalanced datasets. Moreover, we have proposed state of the art data balancing algorithm to solve data unbalancing problems in such situations. Our experiments show that the logistic regression has an accuracy of 99.91%, and naive bays have an accuracy of 97.65%. K nearest neighbor has an accuracy is 99.92%, support vector machine has an accuracy of 99.95%. The precision and accuracy comparison of our proposed approach shows that our model is state of the art

Diabetes Pharmacotherapies and Bladder Cancer: A Medicare Epidemiologic Study

Objective: Patients with type II diabetes have an increased risk of bladder cancer and are commonly treated with thiazolidinediones and angiotensin receptor blockers (ARBs), which have been linked to cancer risk. We explored the relationship between use of one or both of these medication types and incident bladder cancer among diabetic patients (diabetics) enrolled in Medicare. Research Design and Methods: We constructed both a prevalent and incident retrospective cohort of pharmacologically treated prevalent diabetics enrolled in a Medicare fee-for-service plan using inpatient, outpatient (2003–2011) and prescription (2006–2011) administrative data. The association of incident bladder cancer with exposure to pioglitazone, rosiglitazone and ARBs was studied using muitivariable Cox’s hazard models with time-dependent covariates in each of the two cohorts. Results: We identified 1,161,443 prevalent and 320,090 incident pharmacologically treated diabetics, among whom 4433 and 1159, respectively, developed incident bladder cancers. In the prevalent cohort mean age was 75.1 years, mean follow-up time was 38.0 months, 20.2% filled a prescription for pioglitazone during follow-up, 10.4% received rosiglitazone, 31.6% received an ARB and 8.0% received combined therapy with pioglitazone + ARB. We found a positive association between bladder cancer and duration of pioglitazone use in the prevalent cohort (P for trend = 0.008), with ≥24 months of pioglitazone exposure corresponding to a 16% (95% confidence interval 0–35%) increase in the incidence of bladder cancer compared to no use. There was a positive association between bladder cancer and rosiglitazone use for \u3c24 months in the prevalent cohort, but no association with ARB use. There were no significant associations in the incident cohort. Conclusions: We found that the incidence of bladder cancer increased with duration of pioglitazone use in a prevalent cohort of diabetics aged 65+ years residing in the USA, but not an incident cohort

A nurse-led clinic for patients consulting with osteoarthritis in general practice: development and impact of training in a cluster randomised controlled trial

Background: Despite a lack of service provision for people with osteoarthritis (OA), each year 1 in 5 of the general population consults a GP about a musculoskeletal condition such as OA. Consequently this may provide an opportunity for practice nurses to take an active role in helping patients manage their condition. A nurse led clinic for supporting patients with OA was developed for the MOSAICS study investigating how to implement the NICE 2014 OA Guideline core recommendations. This paper has two main objectives, firstly to provide an overview of the nurse-led OA clinic, and secondly to describe the development, key learning objectives, content and impact of the training to support its delivery. Methods: A training programme was developed and delivered to provide practice nurses with the knowledge and skill set needed to run the nurse-led OA clinic. The impact of the training programme on knowledge, confidence and OA management was evaluated using case report forms and pre and post training questionnaires. Results: The pre-training questionnaire identified a gap between what practice nurses feel they can do and what they should be doing in line with NICE OA guidelines. Evaluation of the training suggests that it enabled practice nurses to feel more knowledgeable and confident in supporting patients to manage their OA and this was reflected in the clinical management patients received in the nurse-led OA clinics. Conclusions: A significant gap between what is recommended and what practice nurses feel they can currently provide in terms of OA management was evident. The development of a nurse training programme goes some way to develop a system in primary care for delivering the core recommendations by NICE

Assessing methods for dealing with treatment switching in clinical trials: A follow-up simulation study

When patients randomised to the control group of a randomised controlled trial are allowed to switch onto the experimental treatment, intention-to-treat analyses of the treatment effect are confounded because the separation of randomised groups is lost. Previous research has investigated statistical methods that aim to estimate the treatment effect that would have been observed had this treatment switching not occurred and has demonstrated their performance in a limited set of scenarios. Here, we investigate these methods in a new range of realistic scenarios, allowing conclusions to be made based upon a broader evidence base. We simulated randomised controlled trials incorporating prognosis-related treatment switching and investigated the impact of sample size, reduced switching proportions, disease severity, and alternative data-generating models on the performance of adjustment methods, assessed through a comparison of bias, mean squared error, and coverage, related to the estimation of true restricted mean survival in the absence of switching in the control group. Rank preserving structural failure time models, inverse probability of censoring weights, and two-stage methods consistently produced less bias than the intentionto-treat analysis. The switching proportion was confirmed to be a key determinant of bias: sample size and censoring proportion were relatively less important. It is critical to determine the size of the treatment effect in terms of an acceleration factor (rather than a hazard ratio) to provide information on the likely bias associated with rank-preserving structural failure time model adjustments. In general, inverse probability of censoring weight methods are more volatile than other adjustment methods

Resistance or appropriation? : Uptake of exercise after a nurse-led intervention to promote self-management for osteoarthritis.

The philosophical underpinning of trials of complex interventions is critiqued for not taking into account causal mechanisms that influence potential outcomes. In this article, we draw from in-depth interviews (with practice nurses and patients) and observations of practice meetings and consultations to investigate the outcomes of a complex intervention to promote self-management (in particular exercise) for osteoarthritis in primary care settings. We argue that nurses interpreted the intervention as underpinned by the need to educate rather than work with patients, and, drawing from Habermasian theory, we argue that expert medicalised knowledge (system) clashed with lay 'lifeworld' prerogatives in an uneven communicative arena (the consultation). In turn, the advice and instructions given to patients were not always commensurate with their 'lifeworld'. Consequently, patients struggled to embed exercise routines into their daily lives for reasons of unsuitable locality, sense-making that 'home' was an inappropriate place to exercise and using embodied knowledge to test the efficacy of exercise on pain. We conclude by arguing that using Habermasian theory helped to understand reasons why the trial failed to increase exercise levels. Our findings suggest that communication styles influence the outcomes of self-management interventions, reinforce the utility of theoretically informed qualitative research embedded within trials to improve conduct and outcomes and indicate incorporating perspectives from human geography can enhance Habermas-informed research and theorising

What are the risks and benefits of temporarily discontinuing medications to prevent acute kidney injury? A systematic review and meta-analysis.

OBJECTIVES: To summarise evidence on temporary discontinuation of medications to prevent acute kidney injury (AKI). DESIGN: Systematic review and meta-analysis of randomised and non-randomised studies. PARTICIPANTS: Adults taking diuretics, ACE inhibitors (ACEI), angiotensin receptor blockers (ARB), direct renin inhibitors, non-steroidal anti-inflammatories, metformin or sulfonylureas, experiencing intercurrent illnesses, radiological or surgical procedures. INTERVENTIONS: Temporary discontinuation of any of the medications of interest. PRIMARY AND SECONDARY OUTCOME MEASURES: Risk of AKI. Secondary outcome measures were estimated glomerular filtration rate and creatinine post-AKI, urea, systolic and diastolic blood pressure, death, clinical outcomes and biomarkers. RESULTS: 6 studies were included (1663 participants), 3 randomised controlled trials (RCTs) and 3 prospective cohort studies. The mean age ranged from 65 to 73 years, and the proportion of women ranged from 31% to 52%. All studies were in hospital settings; 5 evaluated discontinuation of medication prior to coronary angiography and 1 prior to cardiac surgery. 5 studies evaluated discontinuation of ACEI and ARBs and 1 small cohort study looked at discontinuation of non-steroidal anti-inflammatory drugs. No studies evaluated discontinuation of medication in the community following an acute intercurrent illness. There was an increased risk of AKI of around 15% in those in whom medication was continued compared with those in whom it was discontinued (relative risk (RR) 1.17, 95% CI 0.99 to 1.38; 5 studies). When only results from RCTs were pooled, the increase in risk was almost 50% (RR 1.48, 95% CI 0.84 to 2.60; 3 RCTs), but the CI was wider. There was no difference between groups for any secondary outcomes. CONCLUSIONS: There is low-quality evidence that withdrawal of ACEI/ARBs prior to coronary angiography and cardiac surgery may reduce the incidence of AKI. There is no evidence of the impact of drug cessation interventions on AKI incidence during intercurrent illness in primary or secondary care. TRIAL REGISTRATION NUMBER: PROSPERO CRD42015023210

Association of Receiving Multiple, Concurrent Fracture-Associated Drugs With Hip Fracture Risk

Importance: Many prescription drugs increase fracture risk, which raises concern for patients receiving 2 or more such drugs concurrently. Logic suggests that risk will increase with each additional drug, but the risk of taking multiple fracture-associated drugs (FADs) is unknown. Objective: To estimate hip fracture risk associated with concurrent exposure to multiple FADs. Design, Setting, and Participants: This cohort study used a 20% random sample of Medicare fee-for-service administrative data for age-eligible Medicare beneficiaries from 2004 to 2014. Sex-stratified Cox regression models estimated hip fracture risk associated with current receipt of 1, 2, or 3 or more of 21 FADs and, separately, risk associated with each FAD and 2-way FAD combination vs no FADs. Models included sociodemographic characteristics, comorbidities, and use of non-FAD medications. Analyses began in November 2018 and were completed April 2019. Exposure: Receipt of prescription FADs. Main Outcomes and Measures: Hip fracture hospitalization. Results: A total of 11.3 million person-years were observed, reflecting 2,646,255 individuals (mean [SD] age, 77.2 [7.3] years, 1,615,613 [61.1%] women, 2,136,585 [80.7%] white, and 219 579 [8.3%] black). Overall, 2,827,284 person-years (25.1%) involved receipt of 1 FAD; 1,322,296 (11.7%), 2 FADs; and 954,506 (8.5%), 3 or more FADs. In fully adjusted, sex-stratified models, an increase in hip fracture risk among women was associated with the receipt of 1, 2, or 3 or more FADs (1 FAD: hazard ratio [HR], 2.04; 95% CI, 1.99-2.11; P\u3c.001; 2 FADs: HR, 2.86; 95% CI, 2.77-2.95; P\u3c.001; ≥3 FADs: HR, 4.50; 95% CI, 4.36-4.65; P\u3c.001). Relative risks for men were slightly higher (1 FAD: HR, 2.23; 95% CI, 2.11-2.36; P\u3c.001; 2 FADs: HR, 3.40; 95% CI, 3.20-3.61; P\u3c.001; ≥3 FADs: HR, 5.18; 95% CI, 4.87-5.52; P\u3c.001). Among women, 2 individual FADs were associated with HRs greater than 3.00; 80 pairs of FADs exceeded this threshold. Common, risky pairs among women included sedative hypnotics plus opioids (HR, 4.90; 95% CI, 3.98-6.02; P\u3c.001), serotonin reuptake inhibitors plus benzodiazepines (HR, 4.50; 95% CI, 3.76-5.38; P\u3c.001), and proton pump inhibitors plus opioids (HR, 4.00; 95% CI, 3.56-4.49; P\u3c.001). Receipt of 1, 2, or 3 or more non-FADs was associated with a small, significant reduction in fracture risk compared with receipt of no non-FADs among women (1 non-FAD: HR, 0.93; 95% CI, 0.90-0.96; P\u3c.001; 2 non-FADs: HR, 0.84; 95% CI, 0.81-0.87; P\u3c.001; ≥3 non-FADs: HR, 0.74; 95% CI, 0.72-0.77; P\u3c.001). Conclusions and Relevance: Among older adults, FADs are commonly used and commonly combined. In this cohort study, the addition of a second and third FAD was associated with a steep increase in fracture risk. Many risky pairs of FADs included potentially avoidable drugs (eg, sedatives and opioids). If confirmed, these findings suggest that fracture risk could be reduced through tighter adherence to long-established prescribing guidelines and recommendations

Cost-effectiveness of a model consultation to support self-management in patients with osteoarthritis

Objectives: The aim of this study was to estimate the cost-effectiveness of a model OA consultation for OA to support self-management compared with usual care. Methods: An incremental cost-utility analysis using patient responses to the three-level EuroQoL-5D (EQ-5D) questionnaire was undertaken from a UK National Health Service perspective alongside a two-arm cluster-randomized controlled trial. Uncertainty was explored through the use of cost-effectiveness acceptability curves. Results: Differences in health outcomes between the model OA consultation and usual care arms were not statistically significant. On average, visits to the orthopaedic surgeon were lower in the model OA consultation arm by -0.28 (95% CI: -0.55, -0.06). The cost-utility analysis indicated that the model OA consultation was associated with a non-significant incremental cost of £-13.11 (95% CI: -81.09 to 54.85) and an incremental quality adjusted life year (QALY) of -0.003 (95% CI: -0.03 to 0.02), with a 44% chance of being cost-effective at a threshold of £20 000 per QALY gained. The percentage of participants who took time off and the associated productivity cost were lower in the model OA consultation arm. Conclusion: Implementing National Institute for Health and Care Excellence guidelines using a model OA consultation in primary care does not appear to lead to increased costs, but health outcomes remain very similar to usual care. Even though the intervention seems to reduce the demand for orthopaedic surgery, overall it is unlikely to be cost-effective