Beating the clock: reduced time to first antibiotic dose administration following an audit-and-feedback intervention

OBJECTIVE

Quality improvement intervention and policy revisions have been shown to improve clinical practice and patient outcomes. We evaluate an intervention to shorten the time from the first antibiotic dose ordering to its administration in patients hospitalized with bacterial infections.

METHODS

An intervention consisting of a weekly email report to nurse and physician leaders in hospital departments was introduced. The report included the percentage of patients that received their first antibiotic dose within three hours, and details of those who did not. We used interrupted time series analysis to compare the delay between the order and administration of antibiotics in various wards (surgical and medical) and daily nursing shifts.

RESULTS

The total number of orders pre-intervention and post-intervention was 58,320 and 52,127, respectively. The most protracted delays were observed during the morning shift in the surgical and medical wards (161 and 100 minutes, respectively). Comparing the pre- to post-intervention time to the first antibiotic dose (TTFAD), a reduction in the morning shift was noted both in the surgical wards (87 minutes, 55%) and medical wards (37 minutes, 37%) and with a preserved trend (p<0.001). The slope's angle before and after the intervention was not affected.

CONCLUSION

Using an audit-and-feedback automatic weekly report significantly reduced TTFAD in hospitalized patients. Moreover, our intervention proved to be simple and sustainable over time. Raising staff awareness of current medical care practices is an effective way to improve performance.

Abnormal brain function in photophobic patients with dry eye disease: An fMRI study

BACKGROUND AND OBJECTIVES

Photophobia, a frequent and disabling symptom observed in various neurological conditions and eye diseases, is thought to involve maladaptive brain functioning. We assessed this hypothesis, using functional magnetic resonance imaging (fMRI) in photophobic patients with minimal-to-severe dry eye disease (DED), as compared to healthy controls.

METHODS

This prospective, monocentric, comparative, cohort study included eleven photophobic DED patients compared to eight controls. Photophobic patients had a complete evaluation of DED to exclude any other cause of photophobia. All participants were scanned with fMRI under intermittent light stimulation with a LED lamp (27s. ON, 27 s. OFF), and cerebral activations were studied with univariate contrasts between the ON and OFF conditions, and with functional connectivity methods.

RESULTS

Firstly, stimulation activated the occipital cortex more strongly in patients than in controls. Moreover, stimulation deactivated the superior temporal cortex in patients less than in controls. Secondly, functional connectivity analysis showed that light stimulation induced lesser decoupling between the occipital cortex and the salience and visual networks in patients than in controls.

DISCUSSION

The current data shows that DED patients with photophobia have maladaptive brain anomalies. There is hyperactivity in the cortical visual system, associated with abnormal functional interactions, both within the visual cortex, and between visual areas and salience control mechanisms. Such anomalies show similarities with other conditions such as tinnitus, hyperacusis, and neuropathic pain. Those findings support novel neurally oriented methods for the care of patients with photophobia.

Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run

We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2  M_{⊙} and 1.0  M_{⊙} in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend our previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio q≥0.1. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14  yr^{-1}. This implies an upper limit on the merger rate of subsolar binaries in the range [220-24200]  Gpc^{-3} yr^{-1}, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes in the mass range 0.2  M_{⊙}<m_{PBH}<1.0  M_{⊙} is f_{PBH}≡Ω_{PBH}/Ω_{DM}≲6%. This improves existing constraints on primordial black hole abundance by a factor of ∼3. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at M_{min}=1  M_{⊙}, where f_{DBH}≡Ω_{DBH}/Ω_{DM}≲0.003%. These are the first constraints placed on dissipative dark models by subsolar-mass analyses.

Emergence of a compositional neural code for written words: Recycling of a convolutional neural network for reading

The visual word form area (VWFA) is a region of human inferotemporal cortex that emerges at a fixed location in the occipitotemporal cortex during reading acquisition and systematically responds to written words in literate individuals. According to the neuronal recycling hypothesis, this region arises through the repurposing, for letter recognition, of a subpart of the ventral visual pathway initially involved in face and object recognition. Furthermore, according to the biased connectivity hypothesis, its reproducible localization is due to preexisting connections from this subregion to areas involved in spoken-language processing. Here, we evaluate those hypotheses in an explicit computational model. We trained a deep convolutional neural network of the ventral visual pathway, first to categorize pictures and then to recognize written words invariantly for case, font, and size. We show that the model can account for many properties of the VWFA, particularly when a subset of units possesses a biased connectivity to word output units. The network develops a sparse, invariant representation of written words, based on a restricted set of reading-selective units. Their activation mimics several properties of the VWFA, and their lesioning causes a reading-specific deficit. The model predicts that, in literate brains, written words are encoded by a compositional neural code with neurons tuned either to individual letters and their ordinal position relative to word start or word ending or to pairs of letters (bigrams).

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

Utility of viscoelastography with TEG 6s to direct management of haemostasis during obstetric haemorrhage: a prospective observational study

BACKGROUND

The TEG 6s is an automated cartridge-based device with limited description of use in obstetric haemorrhage. The aim of this analysis was to describe the utility of TEG 6s in identifying abnormal laboratory results of coagulation and platelet count, and inform an interventional treatment algorithm for postpartum haemorrhage.

METHODS

A prospective observational cohort study of 521 women with moderate to severe obstetric haemorrhage (>1000 mL blood loss), including 372 women with at least one TEG 6s test. A non-pregnant control group was used for reference. TEG 6s test parameters Citrated Functional Fibrinogen (CFF), Citrated Kaolin TEG (CK) and Citrated Rapid TEG (CRT) were compared with paired laboratory tests of fibrinogen, PT/aPTT and platelet count, obtained during haemorrhage.

RESULTS

Among 456 TEG 6s tests, 389 were matched with laboratory coagulation results. The receiver operator characteristic area-under-the-curve (95% CI) for CFF amplitude by 10 min to detect Clauss fibrinogen ≤2 g/L was 0.95 (0.91 to 0.99) (P<0.0001, sensitivity 0.74 and specificity 0.97 at ≤17 mm). False positives had median (IQR) Clauss fibrinogen of 2.4 (2.3-2.7) g/L. The CK-R time had some utility for detecting prolonged PT/aPTT, however a threshold for fresh frozen plasma transfusion was not established. A CRT maximum amplitude <57 mm, when CFF was ≥15 mm, identified four of eight samples with platelet count <75 × 10⁹/L.

CONCLUSION

The TEG 6s CFF can be used to identify low fibrinogen during obstetric haemorrhage. A value to identify transfusion thresholds for PT/aPTT and platelets was not established, and laboratory results should continue to be used.

Segmental Colectomy for Ulcerative Colitis: Is There a Place in Selected Patients Without Active Colitis? An International Multicentric Retrospective Study in 72 Patients

BACKGROUND AND AIMS

The aim of this study was to report a multicentric experience of segmental colectomy [SC] in ulcerative colitis [UC] patients without active colitis, in order to assess if SC can or cannot represent an alternative to ileal pouch-anal anastomosis [IPAA].

METHODS

All UC patients undergoing SC were included. Postoperative complications according to ClavienDindo's classification, long term results, and risk factors for postoperative colitis and reoperation for colitis on the remnant colon, were assessed.

RESULTS: A TOTAL OF

72 UC patients underwent: sigmoidectomy [n = 28], right colectomy [n = 24], proctectomy [n = 11], or left colectomy [n = 9] for colonic cancer [n = 27], 'diverticulitis' [n = 17], colonic stenosis [n = 5], dysplasia or polyps [n = 8], and miscellaneous [n = 15]. Three patients died postoperatively and 5/69 patients [7%] developed early flare of UC within 3 months after SC. After a median followup of 40 months, 24/69 patients [35%] were reoperated after a median delay after SC of 19 months [range, 2-158 months]: 22/24 [92%] underwent total colectomy and ileorectal anastomosis [n = 9] or total coloproctectomy [TCP] [n = 13] and 2/24 [8%] an additional SC. Reasons for reoperation were: colitis [n = 14; 20%], cancer [n = 3] or dysplasia [n = 3], colonic stenosis [n = 1], and unknown reasons [n = 3]. Endoscopic score of colitis before SC was Mayo 23 in 5/5 [100%] patients with early flare vs 15/42 without early flare [36%; p = 0.0101] and in 9/12 [75%] patients with reoperation for colitis vs 11/35 without reoperation [31%; p = 0.016].

CONCLUSIONS

After segmental colectomy in UC patients, postoperative early colitis is rare [7%]. Segmental colectomy could possibly represent an alternative to IPAA in selected UC patients without active colitis.

Sequential generation of linear cluster states from a single photon emitter

Light states composed of multiple entangled photons—such as cluster states—are essential for developing and scaling-up quantum computing networks. Photonic cluster states can be obtained from single-photon sources and entangling gates, but so far this has only been done with probabilistic sources constrained to intrinsically low efficiencies, and an increasing hardware overhead. Here, we report the resource-efficient generation of polarization-encoded, individually-addressable photons in linear cluster states occupying a single spatial mode. We employ a single entangling-gate in a fiber loop configuration to sequentially entangle an ever-growing stream of photons originating from the currently most efficient single-photon source technology—a semiconductor quantum dot. With this apparatus, we demonstrate the generation of linear cluster states up to four photons in a single-mode fiber. The reported architecture can be programmed for linear-cluster states of any number of photons, that are required for photonic one-way quantum computing schemes.

Generating photonic cluster states using a single non-heralded source and a single entangling gate would optimise scalability and reduce resource overhead. Here, the authors generate up to 4-photon cluster states using a quantum dot coupled to a fibre loop, with a fourfold generation rate of 10 Hz.

Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU

Studies reveal that the false alarm rate (FAR) demonstrated by intensive care unit (ICU) vital signs monitors ranges from 0.72 to 0.99. We applied machine learning (ML) to ICU multi-sensor information to imitate a medical specialist in diagnosing patient condition. We hypothesized that applying this data-driven approach to medical monitors will help reduce the FAR even when data from sensors are missing. An expert-based rules algorithm identified and tagged in our dataset seven clinical alarm scenarios. We compared a random forest (RF) ML model trained using the tagged data, where parameters (e.g., heart rate or blood pressure) were (deliberately) removed, in detecting ICU signals with the full expert-based rules (FER), our ground truth, and partial expert-based rules (PER), missing these parameters. When all alarm scenarios were examined, RF and FER were almost identical. However, in the absence of one to three parameters, RF maintained its values of the Youden index (0.94-0.97) and positive predictive value (PPV) (0.98-0.99), whereas PER lost its value (0.54-0.8 and 0.76-0.88, respectively). While the FAR for PER with missing parameters was 0.17-0.39, it was only 0.01-0.02 for RF. When scenarios were examined separately, RF showed clear superiority in almost all combinations of scenarios and numbers of missing parameters. When sensor data are missing, specialist performance worsens with the number of missing parameters, whereas the RF model attains high accuracy and low FAR due to its ability to fuse information from available sensors, compensating for missing parameters.

Gender Inequalities in the Dental Workforce: Global Perspectives

The aim of this review is to investigate the growth of diversity and inclusion in global academic dental research with a focus on gender equality. A diverse range of research methodologies were used to conduct this review, including an extensive review of the literature, engagement of key informants in dental academic leadership positions around the world, and review of current data from a variety of national and international organizations. Results provide evidence of gender inequalities that currently persist in dental academics and research. Although the gender gap among graduating dental students in North America and the two most populous countries in Europe (the United Kingdom and France) has been narrowed, women make up 30% to 40% of registered dentists in countries throughout Europe, Oceania, Asia, and Africa. In academic dentistry around the globe, greater gender inequality was found to correlate with higher ranking academic and leadership positions in the United States, United Kingdom, several countries in European Union, Japan, and Saudi Arabia. Further disparities are noted in the dental research sector, where women make up 33% of dental researchers in the European Union, 35% in North America, 55% in Brazil, and 25% in Japan. Family and societal pressures, limited access to research funding, and lack of mentoring and leadership training opportunities are reported as also contributing to gender inequalities. To continue advancing gender equality in dental academia and research, efforts should be geared toward the collection and public dissemination of data on gender-specific distributions. Such evidence-driven information will guide the selection of future strategies and best practices for promoting gender equity in the dental workforce, which provides a major pipeline of researchers and scholars for the dental profession.

Subjective Cognitive Decline Predicts Concurrent Cognition in Hispanics, but not in Non-Hispanic Whites: A Pilot Study

Objective

Subjective cognitive decline (SCD) is prevalent among older adults and may be indicative of future cognitive decline. However, the expression of SCD may vary across ethnic groups due to factors such as educational level, awareness of decline, and depression. This study explored whether SCD scores predicted concurrent cognition in Hispanic and Non-Hispanic White older adults, after adjusting for variables known to affect this relationship.

Participants and Method

Twenty-two Hispanic (mostly Mexican-American) and 27 Non-Hispanic White older adults were recruited from ongoing studies at the University of California, San Diego. The “My Cognition” version of the Subjective Cognitive Decline Questionnaire (SCD-Q) developed in Spain measured SCD (modified to “Mexican” Spanish and administered in language of preference - 55% in Spanish). The Mattis Dementia Rating Scale (DRS) measured global cognition and the Geriatric Depression Scale (GDS) measured mood.

Results

A hierarchical regression examined if ethnic group moderated the association between SCD-Q total score and DRS total score after adjusting for age, gender, education, and GDS score. Ethnicity moderated the relationship between SCD and DRS (β = -1.071, p = .024). Higher SCD-Q scores significantly predicted lower DRS scores in Hispanics (β = -.97, p &lt; .01), but not in Non-Hispanic Whites (β = -.23, p = .33), after adjusting for co-variates. Education level was the only significant predictor of DRS scores in the Non-Hispanic group.

Conclusions

Preliminary findings indicate that the SCD-Q may be a sensitive predictor of concurrent cognitive function in Hispanics, compared to Non-Hispanic Whites, suggesting that the SCD-Q may be culturally sensitive. Future studies should replicate these findings and investigate ethnic differences in the correlates of SCD (i.e., education, acculturation, depression reporting), which may account for the current findings. Importantly, future research should investigate if SCD can predict future cognitive changes in Hispanics.

A Modular Cytokine Analysis Method Reveals Novel Associations With Clinical Phenotypes and Identifies Sets of Co-signaling Cytokines Across Influenza Natural Infection Cohorts and Healthy Controls

Cytokines and chemokines are key signaling molecules of the immune system. Recent technological advances enable measurement of multiplexed cytokine profiles in biological samples. These profiles can then be used to identify potential biomarkers of a variety of clinical phenotypes. However, testing for such associations for each cytokine separately ignores the highly context-dependent covariation in cytokine secretion and decreases statistical power to detect associations due to multiple hypothesis testing. Here we present CytoMod—a novel data-driven approach for analysis of cytokine profiles that uses unsupervised clustering and regression to identify putative functional modules of co-signaling cytokines. Each module represents a biosignature of co-signaling cytokines. We applied this approach to three independent clinical cohorts of subjects naturally infected with influenza in which cytokine profiles and clinical phenotypes were collected. We found that in two out of three cohorts, cytokine modules were significantly associated with clinical phenotypes, and in many cases these associations were stronger than the associations of the individual cytokines within them. By comparing cytokine modules across datasets, we identified cytokine “cores”—specific subsets of co-expressed cytokines that clustered together across the three cohorts. Cytokine cores were also associated with clinical phenotypes. Interestingly, most of these cores were also co-expressed in a cohort of healthy controls, suggesting that in part, patterns of cytokine co-signaling may be generalizable. CytoMod can be readily applied to any cytokine profile dataset regardless of measurement technology, increases the statistical power to detect associations with clinical phenotypes and may help shed light on the complex co-signaling networks of cytokines in both health and infection.

Abstract P3-01-15: Circulating tumor cell subset analysis to assess lifestyle interventions for breast cancer patients after neoadjuvant chemotherapy

Background:Circulating tumor cells (CTCs) are an independent predictor of survival in patients with breast cancer. In addition, mesenchymal (EMT-CTC) and stem-like (Stem-CTC) CTCs contribute to disease progression. The objective of the overall study is to determine whether a comprehensive lifestyle intervention program started prior to radiotherapy can modulate changes in CTC subsets that are correlated with disease recurrence and progression. For these analyses we examined the association between medical and treatment-related factors and CTCs.

Patients and Methods: Seventy-eight patients with stage II/III breast cancer were recruited and randomized to either the intervention group or a standard care group. The intervention group (n=42) had in-person lifestyle counseling across the 4-6 weeks of radiotherapy (XRT) followed by video counseling for the subsequent 12 months. The standard care group (n=36) was provided patient-education materials for cancer prevention including information on diet, exercise, and stress management, without counseling. Blood samples were collected prior to initiation of XRT, end of XRT, and at 3-month intervals thereafter for up to 5 years. CTC subsets were detected by AdnaTest EMT2 kit (Qiagen, Venlo, Netherlands). Samples were considered positive for CTCs if any one of breast (EPCAM, MUC1, and HER2), EMT (TWIST1), or stem cell-related (ALDH1, AKT2, and PI3Kalpha) genes were detected by PCR above the manufacturer's suggested threshold.

Results: The median age of patients was 49 years (range 26-82 years). Thirty-four patients were overweight (BMI 24.4-30) and 44 patients were obese (BMI &gt;30). Forty-five patients were HR+Her2-, 12 patients were HR+Her2+, 5 patients were HR-Her2+, and 16 patients were TNBC. Sixteen patients were stage IIA or IIB, 34 patients were stage IIIA or IIIB, 27 patients were stage IIIC, and 1 was stage IV. Sixty-seven of 78 patients received neoadjuvant chemotherapy (NACT); 13 patients achieved a complete pathological response (pCR). The median follow-up was 21.6 months. CTC data of both intervention and standard groups were similar at baseline. Presence of CTCs at baseline or follow-up time points was not correlated to HR/Her2 status, stage, obesity, or pCR, but was significantly correlated with receiving NACT. Patients without NACT had significantly higher CTCs than patients who underwent NACT (Fisher Exact Test p=0.010). Furthermore, CTCs by the detection of any gene 3 months after completing XRT was associated with shorter PFS (log-rank p=0.016) and OS (p=0.03).

Conclusions:This is an interim analysis of the prognostic potential of CTCs detected by AdnaTest EMT2 kit in non-metastatic breast cancer. We observed a lower proportion of patients with CTCs following neoadjuvant chemotherapy. However, the relative small sample size and short follow-up time preclude drawing conclusions to the efficacy of using CTCs as surrogate measures for lifestyle interventions, although the presence of CTCs in peripheral blood of patients 3 months after radiation therapy can be a promising indicator of disease relapse and overall survival.

Citation Format: Gao H, Cohen EN, Yang P, Austin TA, Haddad R, Wu Q, Basen-Engquist KM, Ochoa JM, Arun BK, Perkins GH, Tin S, Vallone VS, Mallaiah SG, West CB, Thompson AS, Chaoul A, Cohen L, Reuben JM. Circulating tumor cell subset analysis to assess lifestyle interventions for breast cancer patients after neoadjuvant chemotherapy [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-01-15.

A lateral-to-mesial organization of human ventral visual cortex at birth

In human adults, ventral extra-striate visual cortex contains a mosaic of functionally specialized areas, some responding preferentially to natural visual categories such as faces (fusiform face area) or places (parahippocampal place area) and others to cultural inventions such as written words and numbers (visual word form and number form areas). It has been hypothesized that this mosaic arises from innate biases in cortico-cortical connectivity. We tested this hypothesis by examining functional resting-state correlation at birth using fMRI data from full-term human newborns. The results revealed that ventral visual regions are functionally connected with their contra-lateral homologous regions and also exhibit distinct patterns of long-distance functional correlation with anterior associative regions. A mesial-to-lateral organization was observed, with the signal of the more lateral regions, including the sites of visual word and number form areas, exhibiting higher correlations with voxels of the prefrontal, inferior parietal and temporal cortices, including language areas. Finally, we observed hemispheric asymmetries in the functional correlation of key areas of the language network that may influence later adult hemispheric lateralization. We suggest that long-distance circuits present at birth constrain the subsequent functional differentiation of the ventral visual cortex.

Information Systems and Clinical Research by Residents in Internal Medicine

Residents in Internal Medicine at the University of Michigan completed a questionnaire designed to investigate their information needs and methods of knowledge procurement. Such needs developed when the residents encountered rare, serious or complex situations with which they had no previous experience. For routine problems, textbooks filled information gaps, while difficult cases usually required consultation with older, more experienced colleagues. A new typology of tasks and problems dealt with by clinicians and clinical researchers is presented and used in determining the appropriateness of various information tools.

A Diagnostic Assistance Program

A doctor must determine the specific diseases in a patient by judgment based on observation of any availble number of findings. Such, diagnoses can be assisted materially by computers through statistical analysis. Far more than statistics is involved; the mass of information in textbooks and in the minds of specialists is at .the heart of a successful diagnosis.

Diagnostic assistance can be obtained by encoding the disease process itself. Then, all available known signs and symptoms of a disease and related conditions as observed by the physician are encoded for entry into a computer. Here the data is evaluated, and an output report is printed to show the effective relationship between the physician’s findings and the specific diseases.. When the result is inconclusive, new findings are obtained and entered into the computer. This process is repeated until satisfactory results axe obtained.

The paper includes an example of diagnostic support by a computer, together with an illustration of the method used for developing the program.

Detection of copy number variations in epilepsy using exome data

Epilepsies are common neurological disorders and genetic factors contribute to their pathogenesis. Copy number variations (CNVs) are increasingly recognized as an important etiology of many human diseases including epilepsy. Whole-exome sequencing (WES) is becoming a standard tool for detecting pathogenic mutations and has recently been applied to detecting CNVs. Here, we analyzed 294 families with epilepsy using WES, and focused on 168 families with no causative single nucleotide variants in known epilepsy-associated genes to further validate CNVs using 2 different CNV detection tools using WES data. We confirmed 18 pathogenic CNVs, and 2 deletions and 2 duplications at chr15q11.2 of clinically unknown significance. Of note, we were able to identify small CNVs less than 10 kb in size, which might be difficult to detect by conventional microarray. We revealed 2 cases with pathogenic CNVs that one of the 2 CNV detection tools failed to find, suggesting that using different CNV tools is recommended to increase diagnostic yield. Considering a relatively high discovery rate of CNVs (18 out of 168 families, 10.7%) and successful detection of CNV with <10 kb in size, CNV detection by WES may be able to surrogate, or at least complement, conventional microarray analysis.

User survey of Nanny Angel Network, a free childcare service for mothers with cancer

PURPOSE

The purpose of the present study was to determine user satisfaction with Nanny Angel Network (nan), a free childcare service for mothers undergoing cancer treatment.

METHODS

All 243 living mothers who had used the nan service were invited by telephone to participate in an online research survey; 197 mothers (81%) consented to participate. The survey, sent by e-mail, consisted of 39 items divided into these categories: demographics, supports, use, satisfaction, and general comments.

RESULTS

Of the 197 mothers who consented to receive the e-mailed survey, 104 (53%) completed it. More than 90% of the mothers were very satisfied with the help and support from their Nanny Angel. Many mothers mentioned that the Nanny Angel was most helpful during treatment and medical appointments, with 75% also mentioning that their Nanny Angel helped them to adhere to their scheduled medical appointments. However, 64% felt that they had not received enough visits from their Nanny Angel.

CONCLUSIONS

Satisfaction with the nan childcare provider was high, but mothers wished the service had been available to them more often. Our study highlights the importance of providing childcare to mothers with inadequate support systems, so as to allow for greater adherence to treatment and medical appointments, and for more time to recover.

Prenatal course of metaphyseal anadysplasia associated with homozygous mutation in MMP9 identified by exome sequencing

Metaphyseal anadysplasia (MANDP) is a rare autosomal recessive form of skeletal dysplasia characterized by normal length at birth and transitory bowing of the legs. Although several families with MANDP have been reported, homozygous mutations in the matrix metalloproteinase type 9 (MMP9) gene have been described in only one consanguineous family, and thus the pre and postnatal phenotypic spectrum is still obscure. A clinically similar but more severe type is caused by autosomal-dominant inheritance and is caused by mutations in matrix metalloproteinase type 13 gene (MMP13). Here, we report the prenatal and early postnatal course of two affected sib fetuses with early sonographic evidence of long bone shortening and postnatally no metaphyseal changes. Whole-exome sequencing revealed homozygous mutation in MMP9 in both fetuses suggesting a diagnosis of MANDP. We propose that MANDP should be considered in pregnancies with early prenatal shortening of the long bones without associated finding of lethal skeletal dysplasias. In addition, the finding of homozygous mutation in non-consanguineous parents of Jewish-Caucasus ancestry may suggest unawareness of such relation or the occurrence of a founder mutation in this gene.

Abstract P1-01-19: Circulating tumor cells in triple-negative breast cancer patients express prostate related genes and show different genetic profiles in US and German patient cohorts

Background: Triple negative breast cancer (TNBC) is known for its aggressive behavior and poor prognosis since treatment options are limited. Specific biomarkers are urgently needed to treat patients (pts) accordingly. In this regard, circulating tumor cells (CTCs) are discussed to be an ideal surrogate marker for individualized treatment options. Using a multi-marker gene panel for the characterization of CTCs, we recently demonstrated that CTCs in TNBC pts and non-TNBC pts showed different genetic profiles including the expression of the androgen receptor (AR). We here compared CTCs of TNBC pts in two different national Institutions in the US (mainly Afro-American women) and Germany (Caucasian women) to identify potentially ethnical differences and to further explore AR expression related similarities of prostate cancer to TNBC.

Methods: 2x5 ml blood of TNBC pts before therapy (n=18 from the Dep. of Gynecol. and Obstetrics, Essen, GER; n=31 from the MDA Cancer Center Houston, US) were analyzed for CTCs applying positive immunomagnetic selection targeting EpCAM, EGFR and HER2 using the AdnaTest EMT-2/Stem Cell Select (QIAGEN Hannover GmbH, Germany). Subsequently, cDNA was pre-amplified for specific genes using TaqMan PreAmp Master Mix according to in house designed assays. Establishment of a 19 gene qPCR panel was performed for the markers PI3K, AKT2, ERCC1, AURKA, HER2, HER3, EGFR, ALK, AR, BRCA1, c-KIT, c-MET, KRT5, mTOR, NOTCH1, PARP1, SRC1, CD45 (leucocyte control) and GAPDH (housekeeping gene) as well as an internal reference. The cutoff was calculated, taking the false positive rate in healthy donors into account, and defined as Ct (cutoff) - Ct (sample) - [Ct (CD45cutoff) – Ct (CD45sample)]. Using the AdnaPanel Prostate Cancer (QIAGEN Hannover GmbH, Germany), cDNA obtained from a subset of 14 pts was further analyzed for the expression profile of AR, prostate specific antigen (PSA) as well as prostate specific membrane antigen (PSMA).

Results: The overall CTC-positivity rate (at least one of the markers expressed) was comparable between both sites (GER: 78%; US: 65%). Similar overexpression frequencies were found for AKT2, AR, AURKA, c-KIT, NOTCH1 and SRC at both sites. However, ALK, BRCA1, HER3 and KRT5 were predominantly found in CTCs of German pts while these genes were not or only weakly expressed in CTCs of the US group. In contrast, c-MET, ERCC1, HER2 and PARP were mainly expressed in CTCs of the US group and rarely in the German group. Interestingly, EGFR was not detected in both groups. Analyzing the overexpression of prostate related genes in a subgroup of 14 TNBC pts resulted in the expression of AR in 21%, PSA in 14%, and PSMA in 36% of cases, respectively.

Conclusion: Although we observed similar gene expression profiles in both patient cohorts, clear differences in some gene expression frequencies were detected at both sites. Whether these findings can be related to ethnic differences will be subject of further investigations. Furthermore, we were able to demonstrate that prostate related genes were frequently detectable which so far have not been discussed in the context of breast cancer.

Citation Format: Kasimir-Bauer S, Gao H, Bittner A-K, Plappert L, Feniuk N, Ueno NT, Cohen L, Valero V, Woodward WA, Alvarez RH, Hoffmann O, Kimmig R, Reuben JM. Circulating tumor cells in triple-negative breast cancer patients express prostate related genes and show different genetic profiles in US and German patient cohorts [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-01-19.

Formal evaluation of PYNK: Breast Cancer Program for Young Women-the patient perspective

PURPOSE

The aim of the present study was to assess patient satisfaction with pynk: Breast Cancer Program for Young Women so as to determine how the program might be improved and to provide feedback to donors.

METHODS

All pynk patients who had consented to have their information entered in our database and who supplied us with their e-mail address were invited to complete a 58-item online questionnaire consisting of multiple choice and open-ended questions. Domains included demographics, provision of written and spoken information, support, infertility risk, research awareness, attitudes toward discharge, and general feedback.

RESULTS

Of 120 pynk patients approached, 61 (51%) participated. More than 90% were satisfied or very satisfied with the timing, usefulness, and clarity of spoken and written information given, and 69% found the service and support provided by the nurse navigator to be the most helpful component of the program. Of those who had received systemic therapy, 93% recalled a health care provider initiating a discussion of the risk of treatment-related infertility, and 67% were referred to a fertility clinic. On the negative side, 11%-27% were unaware of various services provided by pynk, and 11% were unaware of pynk's ongoing research. One third of patients were unhappy or ambivalent about the prospect of discharge from the program.

CONCLUSIONS

Patient satisfaction with this novel program for young women with breast cancer is high. This study highlights the critical role that the nurse navigator plays in patient support and dissemination of information. In contrast to other reported surveys of young cancer patients, pynk patients are routinely given the opportunity to undergo fertility preservation.

Abstract P1-10-27: Self-reported symptoms and interference issues in breast cancer patients

BACKGROUND: Breast cancer and its treatments produce multiple symptoms that significantly impact patient quality of life (QOL). Distress and impaired function are the most commonly referred symptoms [Cleeland CS, 2007]. Routine cancer care assessment of patient-reported outcomes (PROs), including symptoms, function, and QOL, has been shown to improve symptom management, identification of psychosocial problems, and patient-provider communication. The Symptom Inventory Tool (SIT) is an assessment tool that captures the patients' perceived symptom burden for real-time clinical intervention, taken at the point of no intervention (baseline) and every 21 days or greater. The SIT is comprised of 27 questions utilizing the M.D. Anderson Symptom Inventory tool (MDASI) [Cleeland CS, Cancer 2013], and validated assessment instrument with 8 questions added and a free text box by Cancer Treatment Centers of America (CTCA). CTCA is a national network of five hospitals that specialize in cancer treatment and integrative oncology.

PATIENTS & METHODS: Patients reported symptoms intensity using 19-item MD Anderson Symptom Inventory (MDASI) and 8 additional questions created by CTCA (constipation, swelling, mouth soreness, bleeding, sexual interest, family, hope & QOL). Symptoms were rated "at the worst" on an 11-point numeric scale ranging from 0 ('no present") to 10 ("as bad as you can imagine") in the previous 24 hours. SIT became an integral part of patient care at CTCA beginning in 2012.

RESULTS: From July 2012 to February 2015, a total of 3,740 outpatients with breast cancer were evaluated at CTCA.

A total of 13,852 assessments were analyzed. The assessments consisted of 3,513 completed at baseline, 2,237 completed at the 2nd follow up (FU), and 8,014 completed at 3rd FU or greater. Median age was 50 (range, 17-88), 60% of patients were ER+. Race: White (68%), Black (29%), and other (3%). Disease extension: locoregional (86%) and metastatic (13.6%). The average time since cancer was diagnosed were 35 months, and 50.7% of the patients received prior systemic therapy: chemotherapy (55%), hormone-therapy (41%), and immunotherapy (4%). Mean, standard deviation and inter quartile ranges at baseline assessment are depicted in.

Table 1.Patient Reported SymptomBaseline assessment statisticsPercentage of patients with severe symptoms at baseline and reporting a clinically significant change (2 points) at 2nd SIT assessment Mean +/- STDInterquartile range (IQR)Significant decreaseNo changeDistress3.0 +/- 3.0[0.5]695 (31.3%)594 (26.8%)414 (18.7%)Sadness2.5 +/- 2.9[0.4]622 (28%)718 (32.3%)358 (16.1%)Disturbed Sleep3.3 +/- 3.2[0.6]550 (24.8%)517 (23.3%)642 (28.9%)Mood2.6 +/- 2.7[0.4]549 (24.7%)678 (30.5%)447 (20.1%)Pain2.7 +/- 3.0[0.5]523 (23.9%)675 (30.8%)519 (23.7%)*IQR is a measure of variability, based on dividing a data set into quartiles. Quartiles divide a rank-ordered data set into four equal parts

CONCLUSIONS: The SIT was successful in identifying symptoms burden and interference with life issues in breast cancer patients. Distress, sadness, disturbed sleep, mood and pain were the most common reported symptoms. Early identification of patient burden symptoms allowed immediate intervention and improvement in approximately a quarter of patients.

Citation Format: Alvarez RH, Hartman S, Bosch B, Kendrick D, Cohen L, Fridman J, Ottersen D, Walcott K, Ware S, Castro I, Thomas J, Niu J, Ahn E, Denny D, Markman M. Self-reported symptoms and interference issues in breast cancer patients. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P1-10-27.

MsFLASH participants' priorities for alleviating menopausal symptoms

OBJECTIVE

To describe self-reported menopausal symptom priorities and their association with demographics and other symptoms among participants in an intervention trial for vasomotor symptoms (VMS).

METHODS

Cross-sectional study embedded in the MsFLASH 02 trial, a three-by-two factorial design of yoga vs. exercise vs. usual activity and omega-3-fatty acid vs. placebo. At baseline, women (n = 354) completed hot flush diaries, a card sort task to prioritize symptoms they would most like to alleviate, and standardized questionnaires.

RESULTS

The most common symptom priorities were: VMS (n = 322), sleep (n = 191), concentration (n = 140), and fatigue (n = 116). In multivariate models, women who chose VMS as their top priority symptom (n = 210) reported significantly greater VMS severity (p = 0.004) and never smoking (p = 0.012), and women who chose sleep as their top priority symptom (n = 100) were more educated (p ≤ 0.001) and had worse sleep quality (p < 0.001). ROC curves identified sleep scale scores that were highly predictive of ranking sleep as a top priority symptom.

CONCLUSIONS

Among women entering an intervention trial for VMS and with relatively low prevalence of depression and anxiety, VMS was the priority symptom for treatment. A card sort may be a valid tool for quickly assessing symptom priorities in clinical practice and research.