Advances in multiparametric magnetic resonance imaging combined with biomarkers for the diagnosis of high-grade prostate cancer.

Clinical decisions based on the test results for prostate-specific antigen often result in overdiagnosis and overtreatment. Multiparametric magnetic resonance imaging (mpMRI) can be used to identify high-grade prostate cancer (HGPCa; Gleason score ≥3 + 4); however, certain limitations remain such as inter-reader variability and false negatives. The combination of mpMRI and prostate cancer (PCa) biomarkers (prostate-specific antigen density, Proclarix, TMPRSS2:ERG gene fusion, Michigan prostate score, ExoDX prostate intelliscore, four kallikrein score, select molecular diagnosis, prostate health index, and prostate health index density) demonstrates high accuracy in the diagnosis of HGPCa, ensuring that patients avoid unnecessary prostate biopsies with a low leakage rate. This manuscript describes the characteristics and diagnostic performance of each biomarker alone and in combination with mpMRI, with the intension to provide a basis for decision-making in the diagnosis and treatment of HGPCa. Additionally, we explored the applicability of the combination protocol to the Asian population.

Refined image quality assessment for color fundus photography based on deep learning.

Purpose: Color fundus photography is widely used in clinical and screening settings for eye diseases. Poor image quality greatly affects the reliability of further evaluation and diagnosis. In this study, we developed an automated assessment module for color fundus photography image quality assessment using deep learning. Methods: A total of 55,931 color fundus photography images from multiple centers in Shanghai and the public database were collected and annotated as training, validation, and testing data sets. The pre-diagnosis image quality assessment module based on the multi-task deep neural network was designed. The detailed criterion of color fundus photography image quality including three subcategories with three levels of grading was applied to improve precision and objectivity. The auxiliary tasks such as the localization of the optic nerve head and macula, the classification of laterality, and the field of view were also included to assist the quality assessment. Finally, we validated our module internally and externally by evaluating the area under the receiver operating characteristic curve, sensitivity, specificity, accuracy, and quadratic weighted Kappa. Results: The "Location" subcategory achieved area under the receiver operating characteristic curves of 0.991, 0.920, and 0.946 for the three grades, respectively. The "Clarity" subcategory achieved area under the receiver operating characteristic curves of 0.980, 0.917, and 0.954 for the three grades, respectively. The "Artifact" subcategory achieved area under the receiver operating characteristic curves of 0.976, 0.952, and 0.986 for the three grades, respectively. The accuracy and Kappa of overall quality reach 88.15% and 89.70%, respectively, on the internal set. These two indicators on the external set were 86.63% and 88.55%, respectively, which were very close to that of the internal set. Conclusions: This work showed that our deep module was able to evaluate the color fundus photography image quality using more detailed three subcategories with three grade criteria. The promising results on both internal and external validation indicated the strength and generalizability of our module.

CNN-Based Identification of Parkinson's Disease from Continuous Speech in Noisy Environments.

Parkinson's disease is a progressive neurodegenerative disorder caused by dopaminergic neuron degeneration. Parkinsonian speech impairment is one of the earliest presentations of the disease and, along with tremor, is suitable for pre-diagnosis. It is defined by hypokinetic dysarthria and accounts for respiratory, phonatory, articulatory, and prosodic manifestations. The topic of this article targets artificial-intelligence-based identification of Parkinson's disease from continuous speech recorded in a noisy environment. The novelty of this work is twofold. First, the proposed assessment workflow performed speech analysis on samples of continuous speech. Second, we analyzed and quantified Wiener filter applicability for speech denoising in the context of Parkinsonian speech identification. We argue that the Parkinsonian features of loudness, intonation, phonation, prosody, and articulation are contained in the speech, speech energy, and Mel spectrograms. Thus, the proposed workflow follows a feature-based speech assessment to determine the feature variation ranges, followed by speech classification using convolutional neural networks. We report the best classification accuracies of 96% on speech energy, 93% on speech, and 92% on Mel spectrograms. We conclude that the Wiener filter improves both feature-based analysis and convolutional-neural-network-based classification performances.

Assessment of late treatment-related symptoms using patient-reported outcomes and various factors affecting return to work in survivors of breast cancer.

Introduction: Breast cancer is the most common cancer in women worldwide. Survival in these patients has increased because of early diagnosis and multimodality treatment methods. Return to premorbid functional status after treatment is essential for rehabilitation and good quality of life. Many patients suffer from late treatment-related symptoms which affect their return to premorbid status. Various health-related and work-related variables also affect the return to premorbid status. Materials and methods: This is a cross-sectional study in which 98 patients with breast carcinoma who received curative treatment were included 6-12 months post-radiotherapy completion. Patients were interviewed to assess their type of work and hours of work prior to diagnosis and at the time of the study. The extent to which they are able to return to their pre-diagnosis level of work was noted and various factors that were hindering them were documented. Treatment-related symptoms were assessed using selected questions from NCI PRO-CTCAE (version 1.0) questionnaire. Results: The median age of diagnosis of patients included in the study was 49-50 years. The most common symptoms experienced by patients were fatigue (55%), pain (34%) and oedema (27%). 57% of patients were employed before diagnosis, of which only 20% were able to return to their employment post-treatment. All patients were involved in household work prior to diagnosis and 93% were able to get back to their routine household work, with 20% of patients requiring frequent work breaks. About 40% of patients reported social stigma as a factor that hindered them from returning to work. Conclusion: Most patients return to household work post-treatment. Fatigue, pain and social stigma were the most common barriers to return to employment. Patient-reported outcomes and functional assessments can enable better survivorship care.

Comparison of Pre-Diagnosis Physical Activity and Its Correlates between Lung and Other Cancer Patients: Accelerometer Data from the UK Biobank Prospective Cohort.

Purpose: Physical activity (PA) plays an important role in health outcomes for people with cancer, and pre-diagnosis PA influences PA behaviors after cancer treatment. Less is known about the PA of lung cancer patients, and the strong history of smoking could influence pre-diagnosis levels of PA and place them at risk for health problems. This study aimed to compare pre-diagnosis PA and its correlates in patients with lung cancer and other types of cancer (female breast, colorectal, and prostate cancer) and examine the relationship between pre-diagnosis PA and all-cause mortality. Methods: This study used data from the UK Biobank, which is a national cohort study with accelerometry data. We included 2662 participants and used adjusted linear regressions and survival analyses. Results: Male and female lung cancer groups spent a mean of 78 and 91 min/day in pre-diagnosis moderate to vigorous PA (MVPA), respectively; this is lower than the 3 other types of cancer (p < 0.001). Younger age and faster walking pace had a strong association with PA in all the four types of cancer (p < 0.01). Smoking status had a strong association with PA in the lung cancer group, while obesity had a strong association with PA in female breast, colorectal, and prostate cancer (p < 0.01). Higher levels of pre-diagnosis MVPA (≥1.5 h/day) were associated with a significantly lower all-cause mortality risk. Conclusions: The present study suggests that lung cancer patients are the most inactive population before diagnosis. The identified difference in correlates of PA suggest that cancer-specific approaches are needed in PA research and practices. This study also highlights the importance of high PA for individuals with high cancer risk.

Trends in Biochemical Parameters, Healthcare Resource and Medication Use in the 5 Years Preceding IBD Diagnosis: A Health Maintenance Organization Cohort Study.

BACKGROUND: Few data describing pre-diagnosis changes in patients with inflammatory bowel disease (IBD) exist. We aimed to determine if there is a pattern of change in use of health resources, medications and laboratory results in the years preceding diagnosis. METHODS: This retrospective study used electronic medical records of Maccabi Health Services (MHS). Patients with IBD ≥ 16 years of age and minimum of 5-years follow-up were identified by entry into the MHS IBD registry and included in the analysis. Demographic, clinical, medication and laboratory data were collected. Generalized estimating equation model was applied to study trends and compare between years. RESULTS: This study included 5643 patients with IBD. Of these, 3039 (53.8%) had Crohn's disease (CD), 2322 (41.1%) had ulcerative colitis (UC) and 282 (5%) had indeterminate colitis (IC). Laboratory parameters including white blood cells, platelets and C-reactive protein showed significant increases while haemoglobin and mean cell volume showed significant decreases in mean values in the 2 years prior to diagnosis with stable values prior to that (p < 0.0001). Parameters such as creatinine, total protein and albumin showed significant, progressive decreases in mean values starting 5 years prior to diagnosis (p < 0.0001). Patients with CD had distinct laboratory trends when compared with patients with UC. CONCLUSIONS: Changes in laboratory parameters, healthcare service and medication use occur during the 5-year period before IBD diagnosis. These data can have future clinical applicability by developing a composite score and referral algorithm introducing red flags into primary care visits and appropriate referral for specialist care.

The impact of symptom screening on survival among patients with cancer across varying levels of pre-diagnosis psychiatric care.

BACKGROUND: Patients diagnosed with cancer often experience considerable challenges with mental health, and those who had more intense psychiatric care prior to their cancer diagnosis have a higher risk of mortality. As prior research demonstrated a survival benefit among patients screened for symptoms using the Edmonton symptom assessment system (ESAS), this study aims to examine the association between being ESAS-screened and the risk of mortality across varying intensity levels of pre-diagnosis psychiatric care utilization. METHODS: We conducted a retrospective matched cohort study using population-wide administrative databases. All patients diagnosed with cancer in Ontario, Canada, from January 2007 to December 2015 were identified. Propensity score matching was used to pair ESAS-screened individuals to those not screened. Pairs were also hard matched on a pre-diagnosis psychiatric care utilization gradient. A multivariable Cox proportional hazards regression model was implemented to estimate the association between ESAS and mortality, for each intensity level of pre-diagnosis psychiatric care. RESULTS: The matched cohort consisted of 119,806 patient pairs (ESAS-screened and not screened), of whom 54,468 (45.5%) pairs had prior outpatient psychiatric care and 2249 (1.8%) pairs had experienced emergency department visits or had been hospitalized for psychiatric care. Overall being exposed to ESAS was significantly associated with a 51% decrease in the hazard of mortality (HR 0.49, 95%CI 0.48-0.50, p-value <0.0001). This association was similar across all levels of prior psychiatric use, however, there was no evidence of a differential impact. CONCLUSION: In addition to routinely monitoring symptom severity, including depression, among patients with cancer, it is also important to identify those with preexisting psychiatric comorbidities at the time of diagnosis. This information can be used to ensure that timely and appropriate psycho-oncology services and psycho-social supports are offered to help the patient and their family cope during the cancer disease trajectory.

Smart Homes as Enablers for Depression Pre-Diagnosis Using PHQ-9 on HMI through Fuzzy Logic Decision System.

Depression is a common mental illness characterized by sadness, lack of interest, or pleasure. According to the DSM-5, there are nine symptoms, from which an individual must present 4 or 5 in the last two weeks to fulfill the diagnosis criteria of depression. Nevertheless, the common methods that health care professionals use to assess and monitor depression symptoms are face-to-face questionnaires leading to time-consuming or expensive methods. On the other hand, smart homes can monitor householders' health through smart devices such as smartphones, wearables, cameras, or voice assistants connected to the home. Although the depression disorders at smart homes are commonly oriented to the senior sector, depression affects all of us. Therefore, even though an expert needs to diagnose the depression disorder, questionnaires as the PHQ-9 help spot any depressive symptomatology as a pre-diagnosis. Thus, this paper proposes a three-step framework; the first step assesses the nine questions to the end-user through ALEXA or a gamified HMI. Then, a fuzzy logic decision system considers three actions based on the nine responses. Finally, the last step considers these three actions: continue monitoring through Alexa and the HMI, suggest specialist referral, and mandatory specialist referral.

Analysis of Graphomotor Tests with Machine Learning Algorithms for an Early and Universal Pre-Diagnosis of Dysgraphia.

Five to ten percent of school-aged children display dysgraphia, a neuro-motor disorder that causes difficulties in handwriting, which becomes a handicap in the daily life of these children. Yet, the diagnosis of dysgraphia remains tedious, subjective and dependent to the language besides stepping in late in the schooling. We propose a pre-diagnosis tool for dysgraphia using drawings called graphomotor tests. These tests are recorded using graphical tablets. We evaluate several machine-learning models and compare them to build this tool. A database comprising 305 children from the region of Grenoble, including 43 children with dysgraphia, has been established and diagnosed by specialists using the BHK test, which is the gold standard for the diagnosis of dysgraphia in France. We performed tests of classification by extracting, correcting and selecting features from the raw data collected with the tablets and achieved a maximum accuracy of 73% with cross-validation for three models. These promising results highlight the relevance of graphomotor tests to diagnose dysgraphia earlier and more broadly.

Prevalence of depression, trait anxiety, and social support during the diagnostic phases of breast cancer.

OBJECTIVE: This study aims to determine the prevalence of depression, trait anxiety, and social support among women suspected of breast cancer (BC) and to investigate the association of these factors with the diagnosis of BC. METHODS: A cross-sectional study was conducted on 745 women who presented with breast symptoms in a university breast clinic in Malaysia. Participants were instructed to respond to self-report questionnaires on depression, trait anxiety, and social support while they were waiting for assessment of their suspected BC. The final diagnoses of these patients were traced one month after examining their medical records. Descriptive statistics were performed to examine the socio-demographic and clinical characteristics of all participants. A multiple regression analysis was carried out to determine the association of the abovementioned factors with the diagnosis of BC. RESULTS: The analysis showed that BC was diagnosed in 109 (14.6%), benign breast disease (BBD) in 550 (73.8%), and healthy breast (HB) in 86 (11.5%) women. The prevalence of depression was 53.2% in women with BC, 53.6% in women with BBD, and 60.5% in women with HB prior to diagnosis. The prevalence of trait anxiety was 33%. Mean scores for trait anxiety were 42.2 ± 9.0 and 41.8 ± 9.1 for the BC group and BBD group, respectively. The level of perceived social support was similar in all three groups. CONCLUSION: We found no significant difference in depression, trait anxiety, and social support among women with newly diagnosed BC, BBD, and HB in women with breast symptoms while undergoing diagnostic evaluation. A longitudinal study is essential to establish the association between chronic mental stress and BC.

Distinct patterns of comorbidity prior to diagnosis of incident systemic lupus erythematosus in the Danish population.

The objective of this study was to assess the cumulative prevalence of pre-existing comorbidities among patients diagnosed with systemic lupus erythematosus (SLE) in Denmark. The study included patients aged ≥18 years at the index date set to the date of first registration of SLE in the Danish National Patient Registry (DNPR) between 1996 and 2018. Up to 19 age- and sex-matched general population comparators per case were selected. Comorbidity diagnoses were retrieved from the DNPR based on International Classification of Diseases codes. We estimated cumulative prevalence of various comorbidities among cases and comparators, prevalence differences (PDs), and prevalence ratios (PRs), with PDs and PRs adjusted for age and sex, at the index date and 1, 2, 5, and 10 years before the index date. We identified 3,010 SLE cases and 57,046 comparators (mean age at index date: 47.3 years). Most comorbidities occurred more often in SLE patients versus comparators at the index date and up to 10 years before. Overrepresented comorbidities in SLE patients 10 years before SLE diagnosis included neuropsychiatric, cardiovascular, and venous thromboembolic diseases; PDs (95% CI) were 2.3% (1.4-3.3%), 1.3% (0.6-1.9%), and 1.1% (0.6-1.5%), respectively; corresponding PRs (95% CI) were 1.5 (1.3-1.8), 1.7 (1.4-2.1), and 4.3 (3.1-6.1). We found a higher prevalence of multiple comorbidities-not only at the time of SLE diagnosis but likewise during the 10-year pre-diagnosis period-among individuals with SLE. These findings underscore the importance of early clinical vigilance toward comorbidities starting in the diagnostic phase of SLE.

Pre-diagnosis major life stressors and breast cancer outcomes.

PURPOSE: While the association between diagnosis of breast cancer and post-diagnosis psychological distress has been well documented, data regarding pre-diagnosis psychological distress in the breast cancer population are limited. Here, we assessed pre-diagnosis major life stressors and breast cancer outcomes, namely stage of disease and choice of surgery, in a single-center population. METHODS: Patients with newly diagnosed clinical stage 0-3 breast cancer seen at Mayo Clinic Florida between June 11, 2018, and October 7, 2019, were administered voluntary telephone surveys to assess major life stressors during the 24 months preceding their cancer diagnosis. Subsequent clinical outcomes of cancer stage at diagnosis and surgical treatment were obtained through retrospective chart review. Study subjects who had experienced major life stressors and those who had not were compared using Chi-square tests. RESULTS: Of 222 patients who were included, 51.3% reported experiencing a major life event before breast cancer diagnosis. 43.9% of these patients endorsed family-related stress. 21.1% had experienced multiple stressors. 1.8% described financial stress. Although more patients in the group with pre-diagnosis stress had carcinoma in situ (21.1% versus 13.0%, p = 0.11) and fewer had stage T1/T2 disease (64% versus 73.1%, p = 0.14) than in the group without stress, these differences were not statistically significant. More patients with pre-diagnosis stress chose mastectomy (34.2% versus 22.2%, p = 0.048). CONCLUSIONS: Psychological distress is prevalent prior to breast cancer diagnosis and may merit early intervention. While additional study in diverse populations is needed, current data suggest possible associations between pre-diagnosis psychological distress and surgical decision making, specifically mastectomy.

Universal Access to Xpert MTB/RIF Testing for Diagnosis of Tuberculosis in Uzbekistan: How Well Are We Doing?

As per national guidelines in Uzbekistan, all presumptive tuberculosis patients should be tested using the Xpert MTB/RIF assay for diagnosing tuberculosis. There is no published evidence how well this is being implemented. In this paper, we report on the Xpert coverage among presumptive tuberculosis patients in 2018 and 2019, factors associated with non-testing and delays involved. Analysis of national aggregate data indicated that Xpert testing increased from 24% in 2018 to 46% in 2019, with variation among the regions: 21% in Tashkent region to 100% in Karakalpakstan. In a cohort (January-March 2019) constituted of 40 randomly selected health facilities in Tashkent city and Bukhara region, there were 1940 patients of whom 832 (43%, 95% confidence interval (CI): 41-45%) were not Xpert-tested. Non-testing was significantly higher in Bukhara region (73%) compared to Tashkent city (28%). In multivariable analysis, patient's age, distance between primary health centre (PHC) and Xpert laboratory, diagnostic capacity and site of PHC were associated with non-testing. The median (interquartile range) duration from date of initial visit to PHC to receiving results was 1 (1-2) day in Tashkent city compared to 3 (1-6) days in Bukhara region (p-value < 0.001). While there is commendable progress, universal access to Xpert testing is not a reality yet.

Gender and the Symptom Experience before an Atrial Fibrillation Diagnosis.

Atrial fibrillation (AF) is the most common arrhythmia in the world. Despite the increasing prevalence, there remains a limited understanding of how the pre-diagnosis symptom experience varies by gender. The purpose of this study was to retrospectively explore gender differences/similarities in the pre-diagnosis period of AF. Twenty-six adults (13 men and 13 women) were interviewed guided by the Symptom Experience in AF (SEAF). Data were analyzed using a two-step approach to thematic analysis. Women had greater challenges receiving a timely diagnosis, with 10 women (77%) experiencing symptoms ≥1 year prior to their diagnosis, in comparison to only three (23%) of the men. Women also reported more severe symptoms, less AF-related knowledge, viewed themselves as low risk for cardiovascular disease, and described how their comorbid conditions confused AF symptom evaluation. This study provides a foundational understanding of differences/similarities in the AF symptom experience by gender.

[Correlation analysis between modified nasal endoscopic score and ELR value and subtype of chronic sinusitis with nasal polyps].

Objective:To analyze the correlation between the modified nasal endoscopic score and ELR value and the subtype of chronic sinusitis with nasal polyps. Method:The clinical data of 119 patients of chronic sinusitis with nasal polyps were retrospectively analyzed. According to the postoperative pathological results, they were divided into two groups: eosinophilic chronic sinusitis with nasal polyps（eCRSwNP） and non-eosinophilic chronic sinusitis with nasal polyps（neCRSwNP）. All patients underwent modified nasal endoscopic examination scores, according to clinical features and anatomical features into the part of the middle nasal meatus and the part of olfactory fissure, and the scores were calculated in two areas respectively; History of asthma, allergic rhinitis and the percentage of eosinophils（EO%）, the absolute value of eosinophils（EO#）, the absolute neutrophil（N）, the absolute lymphocyte（R）, the total IgE were recorded at the same time. Calculate the NLR value and ELR value. This study used SPSS 19.0 for statistical analysis of relevant data. Result:According to the modified nasal endoscopic scoring criteria, the eCRSwNP group had significantly higher olfactory fissure area scores while middle nasal meatus area scores were significantly lower than the neCRSwNP group; ELR value, EO% and EO# were significantly higher in the eCRSwNP group than in the control group, while NLR value and N value were higher in the neCRSwNP group（P<0.05）; There was no significant difference in age, gender, R value and total IgE between the two groups. Compared with EO#, the ELR value was more stability and sensitivity. Therefore, the olfactory fissure area polyps and ELR value are more significant for pre-diagnosis. Conclusion:The modified nasal endoscopic score and ELR value are more correlated with the subtype of CRSwNP. Higher ELR value ,lower NLR value, and association with allergic rhinitis, asthma can be used as prediagnostic indicators for eCRSwNP before invasive pathological results and CT examination.

Blood DNA methylation signatures to detect dementia prior to overt clinical symptoms.

INTRODUCTION: This study determined whether blood DNA methylation (DNAm) patterns differentiate individuals with presymptomatic dementia compared to controls. METHODS: DNAm was measured in 73 individuals prior to dementia diagnosis and 87 cognitively healthy controls matched for age, sex, smoking, education, and baseline cognition. DNAm was also measured at 3 years follow-up in 25 dementia cases, and 24 controls. RESULTS: Cases and controls differed in DNAm (unadjusted P < .01) at the time of diagnosis (n = 28,787 probes), and pre-diagnosis (n = 15,111 probes), with cg01404610 (General transcription factor IIA subunit 1 gene) significant after correction for multiple testing. Overall, 1150 probes overlapped between analyses (methylation differences from -10.6% to +11.0%), and effect sizes increased from pre-diagnosis to diagnosis. DISCUSSION: Discernible blood DNAm signatures are in dementia cases before the appearance of overt clinical symptoms. Blood-based methylation may serve as a potential biomarker of dementia, but further investigation is needed to determine their true clinical utility.

From sepsis to acute respiratory distress syndrome (ARDS): emerging preventive strategies based on molecular and genetic researches.

A healthy body activates the immune response to target invading pathogens (i.e. viruses, bacteria, fungi, and parasites) and avoid further systemic infection. The activation of immunological mechanisms includes several components of the immune system, such as innate and acquired immunity. Once any component of the immune response to infections is aberrantly altered or dysregulated, resulting in a failure to clear infection, sepsis will develop through a pro-inflammatory immunological mechanism. Furthermore, the severe inflammatory responses induced by sepsis also increase vascular permeability, leading to acute pulmonary edema and resulting in acute respiratory distress syndrome (ARDS). Apparently, potential for improvement exists in the management of the transition from sepsis to ARDS; thus, this article presents an exhaustive review that highlights the previously unrecognized relationship between sepsis and ARDS and suggests a direction for future therapeutic developments, including plasma and genetic pre-diagnostic strategies and interference with proinflammatory signaling.

Pre-diagnosis Multidisciplinary Tumor Board and Time to Staging in Lung Cancer: The Case Western MetroHealth Experience.

Introduction National guidelines support the discussion of cancer patients by multidisciplinary tumor boards (MTB). We researched whether early pre-diagnosis multidisciplinary tumor board discussions are associated with shorter times to staging in lung cancer. Methods We reviewed our institution's lung cancer and MTB registries to retrospectively study if an early discussion at pre-diagnostic MTB (pd-MTB) influenced the timeliness of diagnostic evaluation. Over 14 months, 161 consecutive patients with a diagnosis of lung cancer were included. Fifty-five patients were presented at pd-MTB while 106 (controls) patients were not. The primary outcome was the difference in the time interval from suspicious imaging (Ix) to completion of staging (Sx). Outcomes were adjusted for key confounders with a multiple regression analysis. Results For stages I, II, and III lung cancer, where time to therapy matters, early discussion of patients with nodules suspicious for malignancy at pd-MTB was associated with no time delays when compared to patients who were not discussed in pd-MTB. The mean time intervals for imaging to staging (with standard deviations) are 65 days in controls (sd = 42.67) and 75 days (sd = 58.27) in tumor board cases (p=0.39). Adjusting for confounders with a multiple regression analysis among all stages revealed a similar lack of difference in time intervals to diagnosis, staging, and therapy. Conclusion Our stage I-III lung cancer cases (pd-MTB) completed staging in a timely manner, similar to controls (no pd-MTB). The severity of illness at presentation and the availability of diagnostic services and others likely influence the results. Our manuscript shares important numerical data on timelines during cancer diagnosis and treatment. Using this data, prospective registries examining the process workflow may help standardize cancer quality goals and maximize referrals from primary-care/specialty providers. The key findings in our study create a paradigm for future studies to create and achieve "door-to-balloon" time targets for lung cancer care (akin to cardiac care) across different styles of tumor boards.

Coming to understand the child has autism: A process illustrating parents' evolving readiness for engaging in care.

LAY ABSTRACT: What is already known about the topic? Parents of children with autism often learn about their child's autism before diagnosis and can spend long periods seeking care (including assessment) before receiving a diagnosis. Meanwhile, parents' readiness to engage in care at this early stage can vary from parent to parent. What this paper adds? This study revealed how parents come to understand their child has autism-on their own terms, rather than from just talking to professionals. It also explained how parents' growing awareness of their child's autism leads them to feel more motivated to engage in care by seeking information and pursuing services. Four "optional steps" described how parents' growing readiness to engage in care at this early stage can vary, depending on their personal process. Implications for practice, research, or policy The results suggest ways that professionals can be more sensitive (a) to parents' varying awareness of autism and (b) to their varying readiness for being involved in early care. They also suggest ways to tailor parent supports to their individual situation and design care that is more family centered. Not all parents want high levels of involvement. Depending on their personal process, some parents may need care and support that is directed at them before feeling ready for professionals to engage them in care directed at the child.

Pre-diagnosis body mass index, physical activity and ovarian cancer mortality.

BACKGROUND: Ovarian cancer is the deadliest gynecologic malignancy, yet the effects on survival of modifiable pre-diagnosis lifestyle factors, such as obesity and physical activity, remain largely unexplored. Our objective was to evaluate the effect of pre-diagnosis BMI and physical activity on ovarian cancer mortality using prospectively collected data. METHODS: Data on women who developed ovarian cancer after enrollment into the NIH-AARP Diet and Health Study were analyzed. Cancer incidence was ascertained through linkage state cancer registries and consisted of 741 cases of epithelial ovarian cancer. RESULTS: Higher pre-diagnosis BMI was associated with increased overall and ovarian cancer-specific mortality. Comparing women with BMI 25-29.9, 30-34.9 and ≥ 35 to normal weight women, the HRs of overall mortality were 1.18 (95%CI 0.96-1.45), 1.05 (0.82-1.36) and 1.59 (1.14-2.18, p-trend = 0.02). The findings were similar for ovarian cancer-specific mortality comparing women with BMI ≥ 35 to normal weight women (BMI <25) with a HR of 1.47 (95%CI 1.03-2.09, p-trend 0.08). Pre-diagnosis physical activity was not associated with mortality, with HRs for overall mortality of 1.06 (95%CI 0.79-1.43), 0.94 (0.72-1.23), 0.98 (0.76-1.25), and 0.98 (0.75-1.28, p-trend = 0.91), comparing women who engaged in vigorous physical activity 1-3 times/month, 1-2 times/week, 3-4 times/week and 5 times/week, respectively, with those who never/rarely engaged in such activity. CONCLUSIONS: Women who were obese before developing ovarian cancer had increased mortality than those who were normal weight, but physical activity before diagnosis was not associated with mortality in this study population. These results suggest that maintaining a healthy weight is a powerful preventative tool.