Patient-level Information Research Articles

Independent role of neonatal seizures in subsequent neurological outcomes: a population-based study.

This population-based study aimed to estimate the impact of neonatal seizures on subsequent neurological outcomes, regardless of underlying etiology. We performed a retrospective cohort study (1st January 2009-31st December 2014), using a USA nationwide claims database. Newborn infants enrolled in 2009 were followed for up to 6years. Neonatal seizures were identified by combining the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code of 779.0 (convulsions in newborn), procedure codes of electroencephalogram and brain imaging, and antiepileptic drugs claims. Cox regression models were built to estimate the independent impact of neonatal seizures on developing epilepsy, intellectual disability, psychiatric/behavioral disorders, and headache. Out of 490071 newborn infants (251850 males [51.4%], 238221 females [48.6%]), 800 neonatal seizure cases were identified. After controlling for sex, birthweight, preterm birth status, and underlying etiology, neonates with seizures were more likely to have epilepsy (hazard ratio=32.7; 95% confidence interval [CI]=27.7-38.7; p<0.001), intellectual disability (hazard ratio=2.0; 95% CI=1.8-2.3; p<0.001), and headache (hazard ratio=1.6; 95% CI=1.1-2.2; p=0.013) than those without seizures. Observed covariates being equal, seizures in neonates appeared to play a significant role in developing epilepsy, intellectual disability, and headache. The findings showed a detrimental impact of the event in the very early life on neurological outcomes in later life. Seizures had their own impact on the development of adverse neurological outcomes. The magnitude of impact was quite large in epilepsy.

Bridging of Neisseria Gonorrhoeae Across Diverse Sexual Networks in the HIV Pre-Exposure Prophylaxis (PrEP) Era: A Clinical and Molecular Epidemiological Study

Background: Despite 'best effort' public health measures, the incidence of gonorrhoea is increasing in many countries. Recently, whole genome sequencing (WGS) has been used to investigate transmission of Neisseria gonorrhoeae, including antimicrobial-resistant (AMR) lineages, but to date, most studies have not combined genomic data with detailed patient-level information on sexual behaviour to define the extent of transmission across population subgroups ('bridging'). Methods: We performed an observational study and undertook WGS and bioinformatic analysis on all cultured clinical isolates of N. gonorrhoeae in the state of Victoria, Australia, from January to December 2017. Antimicrobial susceptibility testing was performed on all isolates, and detailed epidemiological data was obtained, including data on sexual orientation, HIV status, use of HIV pre-exposure prophylaxis (PrEP), sex work, and overseas travel. Epidemiological associations were made with dominant genetic clusters of N. gonorrhoeae. Findings: A total of 2,186 isolates were sequenced from 2,055 patients, 86·3% of whom were male. We identified eleven dominant genetic clusters, containing thirty or more patients, with the largest cluster comprising 181 patients. There was extensive bridging of clusters between men who have sex with men (MSM) and heterosexuals, with bisexual males identified in seven of the major clusters. Eight major clusters contained HIV-positive and HIV-negative patients (including individuals receiving PrEP). We also identified transmission of a novel azithromycin-resistant clone, associated with a mosaic mtr locus. Interpretation: To our knowledge, our study is the first to combine WGS with comprehensive individual-level behavioural risk data, providing verification for transmission of multiple gonococcal lineages within and across distinct sexual networks. Application of these methods in real-time will allow gonorrhoea transmission and antimicrobial resistance to be tracked, with 'hotspots' identified for interventions aimed at improving gonorrhoea control. Funding Statement: The National Health and Medical Research Council of Australia, and the Victorian Department of Health and Human Services. DAW (GNT1123854), EPFC (GNT1091226), and JCK (GNT1142613) are supported by Early Career Fellowships from the National Health and Medical Research Council (NHMRC) of Australia. BPH is supported by a Practitioner Fellowship from the NHMRC (GNT1105905). DJI is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement 643476. Work in this study was supported by a Project Grant from the NHMRC (GNT1147735) and a Partnership grant from the NHMRC (GNT1149991). MDU PHL is funded by the Victorian Department of Health and Human Services. Declaration of Interests: The authors declare no competing interests. Ethics Approval Statement: Data were collected in accordance with the Victorian Public Health and Wellbeing Act 2008. Ethical approval was obtained from the Alfred Hospital Ethics Committee (Project 625/17).

A Systematic Review of Case-Identification Algorithms Based on Italian Healthcare Administrative Databases for Three Relevant Diseases of the Cardiovascular System: Acute Myocardial Infarction, Ischemic Heart Disease, and Stroke.

acute myocardial infarction (AMI), ischemic heart diseases (IHDs) and stroke are serious cardiovascular diseases (CVDs) which may lead to hospitalizations, require periodical medical monitoring and life-long drugs use, thus having a high impact on public health and Healthcare Service expenditure. In this contest, Italian Healthcare Administrative Databases (HADs), which routinely collect patientlevel information on healthcare services reimbursed by the National Healthcare service, are increasingly used for identification of these CVDs. to identify and describe all AMI, IHDs and stroke case-identification algorithms by means of Italian HADs, through the review of papers published in the past 10 years. this study is part of a project that systematically reviewed case-identification algorithms for 18 acute and chronic conditions by means of HADs in Italy. PubMed was searched for original articles, published between 2007 and 2017, in Italian or English. The search string consisted of a combination of free text and MeSH terms with a common part that focused on HADs and a disease-specific part. All identified papers were screened by two independent reviewers. Pertinent papers were classified according to the objective for which the algorithm had been used, and only articles that used algorithms for primary objectives (I disease occurrence; II population/cohort selection; III outcome identification) were considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, follow-back periods, and age ranges applied by the algorithms have been reported. Further information on specific objective(s), accuracy measures, sensitivity analyses and the contribution of each HAD, have also been recorded. the search strategy has led to the identification of 611 papers for AMI,801 for IHDs and 791 for stroke. Among these,45,12 and 31 papers for AMI, IHDs and stroke respectively, were considered pertinent for inclusion in the systematic review. The majority of the works was published during 2014-2017. The setting of the studies was mainly regional for AMI and stroke, while the majority of IHD's papers was based on a national multicenter context. By screening full texts, a total of 17,5 and 28 original algorithms for AMI, IHDs and stroke respectively, intended for the above-mentioned objectives, were found. Moreover, 3 original algorithms for STEMI, 3 for NSTEMI, 8 for ischemic stroke and 3 for hemorrhagic stroke were identified. The hospital discharge diagnosis database (HDD) was used in all algorithms. In only a few cases the co-payment exemption registry, drug prescription database, and mortality registry database were used as additional algorithm components. For the same event, there was always a difference of >=1 code. External validation was performed in only one case for AMI and stroke identification. a remarkable heterogeneity, in terms of both data sources and codes used, was observed for algorithms aimed to identify AMI, IHDs and stroke in HADs. This was likely due to the paucity of validation studies. Administrative data sources other than HDD remain underutilized.

Current Status and Growth of Nuclear Theranostics in Singapore.

The concept of theranostics, where individual patient-level biological information is used to choose the optimal therapy for that individual, has become more popular in the modern era of 'personalised' medicine. With the growth of theranostics, nuclear medicine as a specialty is uniquely poised to grow along with the ever-increasing number of concepts combining imaging and therapy. This special report summarises the status and growth of Theranostic Nuclear Medicine in Singapore. We will cover our experience with the use of radioiodine, radioiodinated metaiodobenzylguanidine, peptide receptor radionuclide therapy, prostate specific membrane antigen radioligand therapy, radium-223 and yttrium-90 selective internal radiation therapy. We also include a section on our radiopharmacy laboratory, crucial to our implementation of theranostic principles. Radionuclide theranostics has seen tremendous growth and we hope to be able to grow alongside to continue to serve the patients in Singapore and in the region.

Patient-level costs in margin re-excision for breast-conserving surgery

High rates of reoperation following breast-conserving surgery (BCS) for positive margins are associated with costs to healthcare providers. The aim was to assess the quality of evidence on reported re-excision costs and compare the direct patient-level costs between patients undergoing successful BCS versus reoperations after BCS. The study used data from women who had BCS with or without reoperation at a single institution between April 2015 and March 2016. A systematic review of health economic analysis in BCS was conducted and scored using the Quality of Health Economic Studies (QHES) instrument. Financial data were retrieved using the Patient-Level Information and Costing Systems (PLICS) for patients. Exchange rates used were: US $1 = £0·75, £1 = €1·14 and US $1 = €0·85. The median QHES score was 47 (i.q.r. 32·5-79). Only two of nine studies scored in the upper QHES quartile (score at least 75). Costs of initial lumpectomy and reoperation were in the range US $1234-11786 and $655-9136 respectively. Over a 12-month interval, 153 patients had definitive BCS and 59 patients underwent reoperation. The median cost of reoperations after BCS (59 patients) was £4511 (range 1752-18 019), representing an additional £2136 per patient compared with BCS without reoperation (P < 0·001). The systematic review demonstrated variation in methodological approach to cost estimates and a paucity of high-quality cost estimate studies for reoperations. Extrapolating local PLICS data to a national level suggests that getting BCS right first time could result in substantial savings.

Population-Based Linkage of Big Data in Dental Research.

Population-based linkage of patient-level information opens new strategies for dental research to identify unknown correlations of diseases, prognostic factors, novel treatment concepts and evaluate healthcare systems. As clinical trials have become more complex and inefficient, register-based controlled (clinical) trials (RC(C)T) are a promising approach in dental research. RC(C)Ts provide comprehensive information on hard-to-reach populations, allow observations with minimal loss to follow-up, but require large sample sizes with generating high level of external validity. Collecting data is only valuable if this is done systematically according to harmonized and inter-linkable standards involving a universally accepted general patient consent. Secure data anonymization is crucial, but potential re-identification of individuals poses several challenges. Population-based linkage of big data is a game changer for epidemiological surveys in Public Health and will play a predominant role in future dental research by influencing healthcare services, research, education, biotechnology, insurance, social policy and governmental affairs.

Mixed-methods evaluation of the Perioperative Medicine Service for High-Risk Patients Implementation Pilot (POMSHIP): a study protocol

IntroductionPerioperative complications have a lasting effect on health-related quality of life and long-term survival. The Royal College of Anaesthetists has proposed the development of perioperative medicine (POM) services as an...

Suboptimal Retention in Care Among Recently Released Prisoners: Implications for Social Workers in HIV Primary Care.

Certain populations of people living with HIV (PLWH) are at greater risk for falling out of care, including PLWH with a history of incarceration. This is associated with increased risk of morbidity and mortality. In the current retrospective cohort study, we examined patient-level information for 340 PLWH who had transferred HIV care services from prison or from other community-based or private HIV primary care providers to a large urban HIV clinic in the southeastern United States. Results indicated that, compared to those transferring care from another community-based or private medical provider, PLWH transferring care from prison were significantly less likely to be retained in care than PLWH transferring care from other providers, even after controlling for other factors. HIV primary care social workers, who are trained to provide case management services, can help provide PLWH with a coordinated continuum of care that addresses the complex issues faced post-release.

Video Media in Clinic Waiting Areas Increases Interest in Most Effective Contraceptive Methods.

To examine the utility of a patient-level information video as part of the contraception consultation visit. Specifically, to assess the impact of the video on women's contraception choice, and, further, to assess patient and provider acceptability of incorporating the video into the patient visit. A pre-post study design was used to assess the impact on patients' contraceptive choices and knowledge. Participants (n = 49) answered questions regarding contraceptive preferences and knowledge of long-acting reversible contraception (LARC), then watched a 12-minute patient-level counselling video that presented evidence-based information about contraception in descending order of effectiveness. Clinicians (n = 39) also viewed the video and completed a survey. A retrospective chart review of 100 contraception visits was completed. Patient preference for IUDs increased significantly, whereas condoms decreased pre-to-post video (hormonal: 8.2% to 20.4%; copper: 0% to 16%; condoms: 32.7% to 18%, P < 0.05). Although 74.4% of clinicians believed that the hormonal IUD was the "ideal" form of contraception when no contraindications were present, 95% stated that the oral contraceptive pill was most often prescribed, and a chart review revealed that the oral contraceptive pill was discussed at 88% of contraceptive counselling visits. Both patients and clinicians found the video useful and acceptable. A patient-level contraceptive information video improved interest in LARC. Both patients and clinicians viewed the video as an acceptable addition to the contraceptive counselling visit.

Determinants of antidepressant response: Implications for practice and future clinical trials

BackgroundResponse to antidepressants in major depressive disorder is variable and determinants are not well understood or used to design clinical trials. We aimed to understand these determinants. MethodsSupported by Innovative Medicines Initiative, as part of a large public-private collaboration (NEWMEDS), we assembled the largest dataset of individual patient level information from industry sponsored randomized placebo-controlled trials of antidepressant drugs in adults with MDD. We examined patient and trial-design-related determinants of outcome as measured by change on Hamilton Depression Scale or Montgomery–Asberg Depression Rating Scale in 34 placebo-controlled trials (drug, n = 8260; placebo, n = 3957). ResultsWhile it is conventional for trials to be 6–8 weeks long, drug-placebo differences were nearly the same at week 4 as at week 6 and with lower dropout rates. At the multivariate level, having any of these attributes was significantly associated with greater drug vs. placebo differences on symptom improvement: female, increasing proportion of patients on placebo, centers located outside of North America, centers with low placebo response (regardless of active treatment response) and using randomized withdrawal designs. LimitationsData on compounds that failed were not available to us. Findings may not be relevant for new mechanisms of action. ConclusionsProof of concept trials can be shorter and efficiency improved by selecting enriched populations based on clinical and demographic variables, ensuring adequate balance of placebo patients, and carefully selecting and monitoring centers. In addition to improving drug discovery, patient exposure to placebo and experimental treatments can be reduced.

Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis.

BackgroundThere is an urgent need for the development of global analytic frameworks that can perform analyses in a privacy-preserving federated environment across multiple institutions without privacy leakage. A few studies on the topic of federated medical analysis have been conducted recently with the focus on several algorithms. However, none of them have solved similar patient matching, which is useful for applications such as cohort construction for cross-institution observational studies, disease surveillance, and clinical trials recruitment.ObjectiveThe aim of this study was to present a privacy-preserving platform in a federated setting for patient similarity learning across institutions. Without sharing patient-level information, our model can find similar patients from one hospital to another.MethodsWe proposed a federated patient hashing framework and developed a novel algorithm to learn context-specific hash codes to represent patients across institutions. The similarities between patients can be efficiently computed using the resulting hash codes of corresponding patients. To avoid security attack from reverse engineering on the model, we applied homomorphic encryption to patient similarity search in a federated setting.ResultsWe used sequential medical events extracted from the Multiparameter Intelligent Monitoring in Intensive Care-III database to evaluate the proposed algorithm in predicting the incidence of five diseases independently. Our algorithm achieved averaged area under the curves of 0.9154 and 0.8012 with balanced and imbalanced data, respectively, in κ-nearest neighbor with κ=3. We also confirmed privacy preservation in similarity search by using homomorphic encryption.ConclusionsThe proposed algorithm can help search similar patients across institutions effectively to support federated data analysis in a privacy-preserving manner.

Infant feeding practices within a large electronic medical record database

BackgroundThe emerging adoption of the electronic medical record (EMR) in primary care enables clinicians and researchers to efficiently examine epidemiological trends in child health, including infant feeding practices.MethodsWe completed a population-based retrospective cohort study of 8815 singleton infants born at term in Ontario, Canada, April 2002 to March 2013. Newborn records were linked to the Electronic Medical Record Administrative data Linked Database (EMRALD™), which uses patient-level information from participating family practice EMRs across Ontario. We assessed exclusive breastfeeding patterns using an automated electronic search algorithm, with manual review of EMRs when the latter was not possible. We examined the rate of breastfeeding at visits corresponding to 2, 4 and 6 months of age, as well as sociodemographic factors associated with exclusive breastfeeding.ResultsOf the 8815 newborns, 1044 (11.8%) lacked breastfeeding information in their EMR. Rates of exclusive breastfeeding were 39.5% at 2 months, 32.4% at 4 months and 25.1% at 6 months. At age 6 months, exclusive breastfeeding rates were highest among mothers aged ≥40 vs. < 20 years (rate ratio [RR] 2.45, 95% confidence interval [CI] 1.62–3.68), urban vs. rural residence (RR 1.35, 95% CI 1.22–1.50), and highest vs. lowest income quintile (RR 1.18, 95% CI 1.02–1.36). Overall, immigrants had similar rates of exclusive breastfeeding as non-immigrants; yet, by age 6 months, among those residing in the lowest income quintile, immigrants were more likely to exclusively breastfeed than their non-immigrant counterparts (RR 1.43, 95% CI 1.12–1.83).ConclusionsWe efficiently determined rates and factors associated with exclusive breastfeeding using data from a large EMR database.

OP08 Using Real World Data To Support National Postmarketing Surveillance

Introduction:While medicines and medical tests are developed in a controlled clinical trial environment, postmarketing surveillance in the real world can be challenging. MedicineInsight—a database of longitudinal patient-level clinical information from primary care practices in Australia—is a novel program that collects primary care data to improve postmarketing surveillance at a national level.Methods:MedicineInsight collects de-identified clinical information from primary care practice information systems using data extraction tools. MedicineInsight currently includes 3.6 million regular patients of 3,300 family physicians (general practitioners) from 650 primary care practices across Australia. MedicineInsight data include longitudinal clinical information on diagnosis and medicines (dose, strength, route of administration, medication switches over time, adverse events, and allergies), and pathology testing data. A series of observational studies was developed for postmarketing surveillance of management of a range of health priorities including type 2 diabetes mellitus (T2DM), chronic obstructive pulmonary disease (COPD), depression, and antibiotics use.Results:Forty-four percent of patients with T2DM in the MedicineInsight database did not have a recorded hemoglobin A1c result and thirty-one percent did not have a recorded blood pressure reading in the previous 6 months. While guidelines recommend a stepwise approach to the initiation of COPD therapy, forty-nine percent of patients with COPD (with or without asthma) were prescribed dual therapy at initiation and a small number (4.5 percent) were prescribed triple therapy. Between 2011 and 2015, the annual rate of antidepressant prescribing per 1,000 family physician encounters increased by eight percent. High volumes of antibiotics were prescribed for respiratory tract infections in Australian primary care, notwithstanding guideline recommendations that antibiotics are not recommended in most cases.Conclusions:Large scale, real-world clinical data from primary care practices can play an important role in postmarketing surveillance at a national level.

Addressing geographic confounding through spatial propensity scores: a study of racial disparities in diabetes.

Motivated by a study exploring differences in glycemic control between non-Hispanic black and non-Hispanic white veterans with type 2 diabetes, we aim to address a type of confounding that arises in spatially referenced observational studies. Specifically, we develop a spatial doubly robust propensity score estimator to reduce bias associated with geographic confounding, which occurs when measured or unmeasured confounding factors vary by geographic location, leading to imbalanced group comparisons. We augment the doubly robust estimator with spatial random effects, which are assigned conditionally autoregressive priors to improve inferences by borrowing information across neighboring geographic regions. Through a series of simulations, we show that ignoring spatial variation results in increased absolute bias and mean squared error, while the spatial doubly robust estimator performs well under various levels of spatial heterogeneity and moderate sample sizes. In the motivating application, we construct three global estimates of the risk difference between race groups: an unadjusted estimate, a doubly robust estimate that adjusts only for patient-level information, and a hierarchical spatial doubly robust estimate. Results indicate a gradual reduction in the risk difference at each stage, with the inclusion of spatial random effects providing a 20% reduction compared to an estimate that ignores spatial heterogeneity. Smoothed maps indicate poor glycemic control across Alabama and southern Georgia, areas comprising the so-called "stroke belt." These results suggest the need for community-specific interventions to target diabetes in geographic areas of greatest need.

Multi-method laboratory user evaluation of an actionable clinical performance information system: Implications for usability and patient safety

IntroductionElectronic audit and feedback (e-A&F) systems are used worldwide for care quality improvement. They measure health professionals’ performance against clinical guidelines, and some systems suggest improvement actions. However, little is known about optimal interface designs for e-A&F, in particular how to present suggested actions for improvement. We developed a novel theory-informed system for primary care (the Performance Improvement plaN GeneratoR; PINGR) that covers the four principal interface components: clinical performance summaries; patient lists; detailed patient-level information; and suggested actions. As far as we are aware, this is the first report of an e-A&F system with all four interface components. Objectives(1) Use a combination of quantitative and qualitative methods to evaluate the usability of PINGR with target end-users; (2) refine existing design recommendations for e-A&F systems; (3) determine the implications of these recommendations for patient safety. MethodsWe recruited seven primary care physicians to perform seven tasks with PINGR, during which we measured on-screen behaviour and eye movements. Participants subsequently completed usability questionnaires, and were interviewed in-depth. Data were integrated to: gain a more complete understanding of usability issues; enhance and explain each other’s findings; and triangulate results to increase validity. ResultsParticipants committed a median of 10 errors (range 8–21) when using PINGR’s interface, and completed a median of five out of seven tasks (range 4–7). Errors violated six usability heuristics: clear response options; perceptual grouping and data relationships; representational formats; unambiguous description; visually distinct screens for confusable items; and workflow integration. Eye movement analysis revealed the integration of components largely supported effective user workflow, although the modular design of clinical performance summaries unnecessarily increased cognitive load. Interviews and questionnaires revealed PINGR is user-friendly, and that improved information prioritisation could further promote useful user action. ConclusionsComparing our results with the wider usability literature we refine a previously published set of interface design recommendations for e-A&F. The implications for patient safety are significant regarding: user engagement; actionability; and information prioritisation. Our results also support adopting multi-method approaches in usability studies to maximise issue discovery and the credibility of findings.

Emergency Department Utilization by Children in the USA, 2010-2011.

IntroductionEpidemiological surveillance data for emergency department (ED) visits by children are imperative to guide resource allocation and to develop health policies that advance pediatric emergency care. However, there are sparse population-based data on patient-level information (e.g., the number of children who present to the emergency department [ED]). In this context, we aimed to investigate both the patient- and visit-level rates of ED utilization by children.MethodsThis was a retrospective cohort study using population-based multipayer data – state ED databases (SEDD) and state inpatient databases (SID) – from six geographically-dispersed U.S. states (California, Florida, Iowa, Nebraska, New York, and Utah) in 2010 and 2011. We identified all children aged <18 years who presented to the ED and described the patient-level ED visit rate, visit-level ED visit rate, and proportion of all ED visits made by children. We conducted the analysis using the 2011 SEDD and SID data. We also repeated the analysis using the 2010 data to determine the consistency of the results across different years.ResultsIn 2011, 2.9 million children with a patient identifier presented to EDs in the six U.S. states. At the patient-level, 15 out of every 100 children presented to an ED at least once per year. Of these children, 25% presented to EDs 2–3 times per year with an approximately 1.5-fold variation across the states (e.g., 19% in Utah vs. 28% in Florida). In addition, 5% presented to EDs ≥4 times per year. At the visit-level, 6.7 million ED visits were made by children in 2011 – 34 ED visits per 100 children annually. ED visits by children accounted for 22% of all ED visits (including both adults and children), with a relatively small variation across the states (e.g., 20% in New York vs. 24% in Nebraska). Analysis of the 2010 data gave similar results for the ED utilization by children.ConclusionBy using large population-based data, we found a substantial burden of ED visits at both patient- and visit-levels. These findings provide a strong foundation for policy makers and professional organizations to strengthen emergency care for children.

An ecological study of skin biopsies and skin cancer treatment procedures in the United States Medicare population, 2000 to 2015

Analyses of skin cancer procedures adjusted for population changes are needed. To describe trends in skin cancer-related biopsies and procedures in Medicare beneficiaries. An ecological study of Medicare claims for skin biopsies and skin cancer procedures in 2000 to 2015. Biopsies increased 142%, and skin cancer procedures increased 56%. Mohs micrographic surgery (MMS) utilization increased on the head/neck, hands/feet, and genitalia (increasing from 11% to 27% of all treatment procedures) but was low on the trunk/extremities (increasing from 1% to 4%). Adjusted for increased Medicare enrollment (+36%) between 2000 and 2015, the number of biopsies and MMS procedures performed per 1000 beneficiaries increased (from 56 to 99 and from 5 to 15, respectively), whereas the number of excisions and destructions changed minimally (from 18 to 16 and from 19 to 18, respectively). Growth in biopsies and MMS procedures slowed between each time period studied: 4.3 additional biopsies per year and 0.9 additional MMS procedures per year per 1000 beneficiaries between 2000 and 2007, 2.2 and 0.5 more between 2008 and 2011, and 0.5 and 0.3 more between 2012 and 2015, respectively. Medicare claims-level data do not provide patient-level or nonsurgical treatment information. The increased number of skin cancer procedures performed was largely the result of Medicare population growth over time. MMS utilization increased primarily on high- and medium-risk and functionally and cosmetically significant locations where tissue sparing and maximizing cure are critical.

Physical frailty and functional status in patients with advanced kidney disease: a protocol for a systematic review

BackgroundPredicting outcomes in those with chronic kidney disease or following transplantation is challenging, and current models lack detailed patient-level information. Frailty and poor functional status are risk factors for adverse patient outcomes that may be useful additions to prognostic tools in patients with chronic kidney disease. The purpose of this systematic review is to examine whether frailty or functional status are associated with increased risk of mortality or adverse clinical outcomes in patients with advanced kidney disease.Methods/designWe will conduct a systematic review to identify and evaluate studies linking frailty and functional status with patient outcomes in populations with advanced kidney disease. We will search MEDLINE, Embase, and the Cochrane Central Register for Controlled Trials. Two reviewers will conduct all screening and data extraction independently. A modified version of the Quality In Prognosis Studies tool will be used to evaluate the quality of the studies. If meta-analysis of outcome data is possible, a random effects model will be used.DiscussionThe results of this review will inform the development, selection, and validation of appropriate metrics needed to improve prognostication in patients with chronic kidney disease.Systematic review registrationPROSPERO CRD42016045251

Lightweight predicate extraction for patient-level cancer information and ontology development

BackgroundKnowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of ontologies. We focus towards the development of ontologies for the public health domain and use patient-centric sources from MedlinePlus related to HPV-causing cancers.MethodsThis paper demonstrates the use of a lightweight open information extraction (OIE) tool to derive accurate knowledge triples that can lead to the seeding of an ontological knowledgebase. We developed a custom application, which interfaced with an information extraction software library, to help facilitate the tasks towards producing knowledge triples from textual sources.ResultsThe results of our efforts generated accurate extractions ranging from 80–89% precision. These triples can later be transformed to OWL/RDF representation for our planned ontological knowledgebase.ConclusionsOIE delivers an effective and accessible method towards the development ontologies.

Supportive periodontal treatment: Pocket depth changes and tooth loss.

The purpose of this retrospective study was to determine the results of 10years of supportive periodontal treatment(SPT) following active periodontal therapy(APT). Probing pocket depth(PPD), bleeding on probing(BOP), tooth loss(TL)and the effects of two patient-related factors, smoking and gender were evaluated. This retrospective study examined patients who underwent APT and SPT for adult periodontitis. Analyses were conducted using site-, tooth- and patient-level information. Mean values were calculated, and parametric and nonparametric analyses were conducted as appropriate to assess the results of APT and SPT. There was a significant improvement in BOP and PPD after APT. After 10years, 9.3% of the patients adhered to the SPT protocol. The improvement in BOP and PPD was maintained, with no additional improvement in the clinical parameters at the 10-year follow-up. Furthermore, differences between non-smokers and smokers were found. After the 10-year follow-up, smokers had a significantly higher percentage of sites with a PPD of 4mm or higher; the mean PPD was also significantly higher in smokers. A significant difference was also found between males and females during SPT for the percentage of sites with BOP and the percentage of sites with a PPD≥6mm. A minority of patients(18.5%) did not lose teeth, and it was found that molars are the teeth most likely to be lost. The mean number of teeth lost was 2.6 during 10-year follow-up. This study indicates that with regard to bleeding on probing and probing pocket depth, patients receiving supportive periodontal treatment maintain their periodontal condition. However, in this group of adherent maintenance patients, tooth loss was most prevalent for molar teeth.