Hip Alpha Angle is Associated with Anterior-Superior Labral Tears but not Anterior Labral Tears

IntroductionThe purpose of this study is to examine the associations between hip and acetabular morphology, clinical and demographic patient factors, and acetabular labral tear location in young adults.Materials and methodsThis study was reviewed by the local Institutional Review Board. The hip magnetic resonance imaging arthrograms from 100 young adult patients (aged 18-35 years) who underwent hip arthroscopy within 1 month of the arthrogram were reviewed. Clinical and demographic variables including age, height, weight, body mass index (BMI) and quantitative hip measurements of acetabular anteversion, alpha and beta angles, femoral head extrusion index, lateral center edge angle, acetabular depth-width ratio, Sharp's and Tönnis’ angles were measured, and compared based on acetabular tear location.ResultsNinety-six (96%) of patients had arthroscopically confirmed acetabular tears, and 4 (4%) patients had a normal acetabula labrum. Most (85 [88.5%]) patients had tears involving the anterior-superior labrum and another location, 41 (42.7%) patients had tears involving the anterior labrum and another location, and 35 (36.5%) had tears involving the superior-lateral labrum and another location. Tears commonly occurred in more than one location, with 37 (38.5%) patients having tears in both the anterior and anterior-superior labrum; 28 (29.2%) patients with tears in both the anterior-superior and superior-lateral labrum and 11 (11.5%) patients with tears in the anterior and superior-lateral labrum. Patients with isolated tears of the anterior-superior labrum had on average higher alpha angles than patients with isolated tears of the anterior labrum (P = 0.007). In patients with anterior-superior labral tears, increased BMI (P = 0.033), and weight (P = 0.024) were associated with having concomitant tears of the superior-lateral labrum.DiscussionMR arthrograms are 96% sensitive for detecting acetabular labral tears. Acetabular labral tears tend to co-occur in different locations, with anterior and anterior-superior labral tears most commonly co-occurring. Patients with isolated anterior-superior labral tears had on average higher alpha angles than patients with isolated anterior labral tears.     

Use of Machine Learning to Develop Prediction Models for Mortality and Stroke in Patients Undergoing Balloon Aortic Valvuloplasty

ObjectiveTo develop an artificial intelligence, machine learning prediction model for estimating in-hospital mortality and stroke in patients undergoing balloon aortic valvuloplasty (BAV).MethodsThe National Inpatient Sample (NIS) database was used to identify patients who underwent BAV from 2005 to 2017. Outcomes analyzed were in-hospital all-cause mortality and stroke after BAV. Predictors of mortality and stroke were selected using LASSO regularization. A conventional logistic regression and a random forest machine learning algorithm were used to train the models for predicting outcomes. The performance of all the modeling algorithms for predicting in-hospital mortality and stroke was compared between models using c-statistic, F1 score, brier score loss, diagnostic accuracy, and Kolmogorov-Smirnov plots.ResultsA total of 6962 patients with severe aortic stenosis who underwent BAV were identified. The performance of random forest classifier was comparable with logistic regression for predicting in-hospital mortality for all measures of performance (F1 score 0.422 vs 0.409, ROC-AUC 0.822 [95 % CI 0.787–0.855] vs 0.815 [95 % CI 0.779–0.849], diagnostic accuracy 70.42 % vs 70.93 %, KS-statistic 0.513 vs 0.494 and brier score loss 0.295 vs 0.291). The random forest algorithm significantly outperformed logistic regression in predicting in-hospital stroke with respect to all performance metrics: F1 score 0.225 vs 0.095, AUC 0.767 [0.662–0.858] vs 0.637 [0.499–0.754], brier score loss [0.399 vs 0.407], and KS-statistic [0.465 vs 0.254].ConclusionsThe good discrimination of machine learning models reveal the potential of artificial intelligence to improve patient risk stratification for BAV.     

A novel methodology to measure waiting times for community-based specialist care in a public healthcare system

BackgroundMonitoring waiting time (WT) in healthcare systems is essential, since long WT are associated with adverse health outcomes, reduced patient satisfaction and increased private financing.ObjectiveTo describe a methodology developed for routine national monitoring of WT for community-based non-urgent specialist appointments, in a public healthcare system.MethodsThe methodology is based on data from computerized appointment scheduling systems of all Health Maintenance Organizations (HMOs) in Israel. Data included first 50 available appointments for community-based specialists and actual number of visits. Five most frequent specialties: orthopedics, ophthalmology, gynecology, dermatology and otolaryngology, were included.WT offered to HMO members for non-urgent care was calculated for two scenarios: "specific" physician and "any" physician in the region. Distribution of offered WT was calculated separately for each specialty and geographical region, combined to create the nationwide distribution.ResultsThe methodology was tested on data extracted between December 2018-June 2019. Estimated national median WT for "specific" physician, ranged from 9 days (ophthalmology/gynecology) to 20 days (dermatology), with large variation between geographic regions. WT were 26–56 % shorter for "any" than for "specific" physician.ConclusionsThis novel method offers a solution for ongoing national WT measurement, using computerized scheduling systems. It integrates two scenarios for appointment scheduling and allows identification of differences between specialties and regions, setting the ground for interventions to strengthen public healthcare systems.     

Preoperative endorectal brachytherapy in the treatment of locally advanced rectal cancer: Rethinking neoadjuvant treatment

Prior to the introduction of preoperative treatment and modern surgical technique, recurrence rates for locally advanced rectal cancer ranged from 30% to 50%. Since the widespread adoption of total mesorectal excision and preoperative chemoradiation therapy (CRT), local recurrence rates have reduced considerably to only 5–10%. However, preoperative treatment comes at a cost with significant acute and late toxicity. Additionally, 2 standards of care have emerged—1 week of radiation alone vs 5 weeks of concurrent chemoradiation. In this review, we evaluate toxicity associated with preoperative treatment as well as the key pathological factors that influence outcome in patients with locally advanced rectal cancer. Additionally, we discuss endorectal brachytherapy, an alternative preoperative treatment that may result in equivalent or improved response rates with less toxicity when compared to conventional CRT.     

The influences of temperature on spatiotemporal trends of hand-foot-and-mouth disease in mainland China

Understanding the influence of temperature on hand-foot-and-mouth disease (HFMD) is an important public health concern as well as being a major climate-infection issue in mainland China. City-scale data of incidence rates (IRs) of HFMD and temperature from 2008 to 2009 in mainland China has been analyzed. There were two peak periods for HFMD prevalence from April to July and August to November. Regions with higher monthly IR of HFMD periodically shifted following the pattern of south–north–south from March to December. Monthly IR of HFMD at city scale were closely associated with both average monthly temperature and monthly temperature range. Our study shows that spatiotemporal trends of HFMD infection were sensitive to temperature variation, and suggest that preventive measures should be considered for limiting the epidemic of HFMD in the cities with higher monthly IR during the peak periods.     

Squamous cell carcinoma of the pancreas: A systematic review and pooled survival analysis

The diagnosis and treatment of squamous cell carcinoma of the pancreas pose dilemmas in the clinical practice. The present study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Eligible articles were sought in MEDLINE up to 30th April 2016. A pooled Cox regression analysis was performed to evaluate factors potentially associated with overall survival (OS) and relapse-free survival (RFS). Fifty-four cases of pure squamous cell pancreatic carcinomas were identified in total. The mean age was 61.9 years, and most patients were males (61.1%). The median OS was 7 months. Resectability (p = 0.003) and more recent publication year (p < 0.001) were associated with better OS, as was low/intermediate tumour grade (p = 0.032) with RFS. Despite its poor prognosis, survival rates of pancreatic squamous cell carcinoma seem improved during the recent years; resectability and low/intermediate grade emerged as favourable prognostic factors. Collaborative epidemiological studies are deemed necessary to further validate the results stemming from the published case reports of this rare entity.     

Differences in cardiovascular disease mortality between local authorities in England: an ecological analysis

BackgroundLarge inequalities in age-standardised mortality rates of cardiovascular disease (CVD) exist at the local authority level within England, with particular areas consistently having the highest rates. Higher deprivation is associated with higher CVD mortality, but we know little about how the demographics and environments of local areas contribute to variations in mortality rates. The aim of this study was to explore the extent to which demographic, health, and environmental factors explain differences in all ages and premature CVD mortality between local authorities in England.MethodsAll data were sourced for each local authority in England. Outcome variables were age-standardised CVD mortality for all ages and those under 75 years in 2012–14. Data obtained were prevalence of ethnic and socioeconomic groups from the UK 2011 census; Public Health England data on index of multiple deprivation (IMD) score; prevalence of smoking, physical activity, obesity and overweightness; and Ordnance Survey environmental data on percentage of food shops, eating out shops, green or blue space, sporting facilities, and health facilities. We used the Akaike Information Criterion to assess which types of variables provided the best statistical model to explain variation in CVD mortality between local authorities.FindingsInclusion of health, demographic, environment, and IMD variables provided the best fit for explaining variation in CVD mortality at all ages (adjusted r²=0·60). Indian and Pakistani ethnicity and the IMD score in local authorities remained significantly associated with the outcome, with corresponding p values all less than 0·01. CVD mortality was 44 per 100 000 population greater in areas with the highest proportions of Indian and Pakistani ethnicities and 110 per 100 000 greater in the most deprived local authorities than in the least deprived areas. For CVD mortality below age 75, exclusion of environmental data improved the fit of the model (adjusted r²=0·82). Overweight prevalence (p=0·0481), Indian (p=0·0111), Pakistani (p=0·0003), and Bangladeshi (p=0·003) ethnicity, and the IMD score (p<0·0001) all remained significantly associated with premature CVD mortality when the best fitting model was used. Premature mortality was 13 per 100 000 and 18–25 per 100 000 greater in local authorities where the proportion of overweight people and Asian ethnicities was highest. Premature mortality in the most deprived local authorities was 68 per 100 000 greater than in the least deprived authorities.InterpretationThese findings are valuable for understanding which factors might be most useful for local authorities to target to reduce CVD mortality. This study combined a large amount of existing data; however, it was conducted at an ecological level, so analyses using individual-level mortality outcomes are also needed.FundingThe authors' posts are funded by the British Heart Foundation.