Transcatheter aortic valve implantation and bleeding: incidence, predictors and prognosis

Peri-procedural bleeding complications are feared adverse events in patients undergoing transcatheter aortic valve implantation (TAVI). Little is known about the implications of peri-procedural bleeding on clinical outcome. In a prospective single-center registry of consecutive patients undergoing TAVI, we investigated incidence, predictors and clinical consequences of life-threatening and major bleeding as defined by the Valve Academic Research Consortium. Among 389 consecutive patients undergoing TAVI by a transfemoral (79.2%), transapical (19.6%) or trans-subclavian (1.3%) approach between July 2007 and October 2011, life-threatening or major peri-procedural bleeding events occurred in 64 (16.4%) and 125 patients (32.1%), respectively. Patients with peri-procedural bleeding events had a higher logistic EuroSCORE, more advanced renal disease, and were more symptomatic as assessed by New York Heart Association functional class at baseline as compared to patients with no bleeding. Life-threatening bleeding was associated with a higher all-cause (17.2 vs. 5.6 vs. 3.0%, p < 0.001) and cardiovascular mortality (10.9 vs. 5.6 vs. 2.5%, p = 0.02) at 30 days compared to patients with major bleeding or no bleeding. Multivariate analysis identified transapical access (OR 2.6, 95% CI 1.4-4.8; p = 0.002), glomerular filtration rate <30 ml/min (OR 2.3, 95% CI 1.1-4.7, p = 0.031), and diabetes (OR 1.8, 95% CI 1.001-3.2, p = 0.049) as independent predictors of life-threatening, peri-procedural bleeding. Life-threatening bleeding complications in patients undergoing TAVI are associated with increased mortality. Renal impairment, diabetes, and transapical approach were identified as independent risk factors for life-threatening bleeding events.

Predictors of health care professionals' attitudes towards involvement in safety-relevant behaviours

BACKGROUND Patients can make valuable contributions towards promoting the safety of their health care. Health care professionals (HCPs) could play an important role in encouraging patient involvement in safety-relevant behaviours. However, to date factors that determine HCPs' attitudes towards patient participation in this area remain largely unexplored. OBJECTIVE To investigate predictors of HCPs' attitudes towards patient involvement in safety-relevant behaviours. DESIGN A 22-item cross-sectional fractional factorial survey that assessed HCPs' attitudes towards patient involvement in relation to two error scenarios relating to hand hygiene and medication safety. SETTING Four hospitals in London PARTICIPANTS   Two hundred sixteen HCPs (116 doctors; 100 nurses) aged between 21 and 60 years (mean: 32): 129 female. OUTCOME MEASURES Approval of patient's behaviour, HCP response to the patient, anticipated effects on the patient-HCP relationship, support for being asked as a HCP, affective rating response to the vignettes. RESULTS HCPs elicited more favourable attitudes towards patients intervening about a medication error than about hand sanitation. Across vignettes and error scenarios, the strongest predictors of attitudes were how the patient intervened and how the HCP responded to the patient's behaviour. With regard to HCP characteristics, doctors viewed patients intervening less favourably than nurses. CONCLUSIONS HCPs perceive patients intervening about a potential error less favourably if the patient's behaviour is confrontational in nature or if the HCP responds to the patient intervening in a discouraging manner. In particular, if a HCP responds negatively to the patient (irrespective of whether an error actually occurred), this is perceived as having negative effects on the HCP-patient relationship.

Antimyelin antibodies as predictors of disability after clinically isolated syndrome

There is controversy whether determination of antibodies against myelin, myelin oligodendrocyte glycoprotein, and myelin basic protein in serum from patients with a first episode suggestive of multiple sclerosis is of prognostic value. We evaluated whether detection of antimyelin antibodies in serum indicates a worse course with earlier time to a second relapse and increased progression of disability. We conducted a prospective study at the Department of Neurology, Inselspital Bern, Switzerland from 2004 to 2008 in patients presenting with a clinically isolated syndrome (CIS) and a follow-up of at least 4 months. Antimyelin antibodies were assessed by Western blot. Results were correlated with clinical course and sex. Among 93 consecutive patients with a CIS, 74 (80%) were positive for either one or both antimyelin antibodies. A relapse occurred in 49 (53%) and the median EDSS was 2 (range 1-3.5) after a mean observation period of 20 months. Presence of antimyelin antibodies at CIS neither increased the risk for a second relapse nor for progression of disability. Stratification for gender did not reveal differences for any of the clinical surrogates. The sole determination of antimyelin antibodies in serum is of limited prognostic value for the identification of patients with different short-term course.

Distinct microRNA Expression Profile in Prostate Cancer Patients with Early Clinical Failure and the Impact of let-7 as Prognostic Marker in High-Risk Prostate Cancer

Background The identification of additional prognostic markers to improve risk stratification and to avoid overtreatment is one of the most urgent clinical needs in prostate cancer (PCa). MicroRNAs, being important regulators of gene expression, are promising biomarkers in various cancer entities, though the impact as prognostic predictors in PCa is poorly understood. The aim of this study was to identify specific miRNAs as potential prognostic markers in high-risk PCa and to validate their clinical impact. Methodology and Principal Findings We performed miRNA-microarray analysis in a high-risk PCa study group selected by their clinical outcome (clinical progression free survival (CPFS) vs. clinical failure (CF)). We identified seven candidate miRNAs (let-7a/b/c, miR-515-3p/5p, -181b, -146b, and -361) that showed differential expression between both groups. Further qRT-PCR analysis revealed down-regulation of members of the let-7 family in the majority of a large, well-characterized high-risk PCa cohort (n = 98). Expression of let-7a/b/and -c was correlated to clinical outcome parameters of this group. While let-7a showed no association or correlation with clinical relevant data, let-7b and let-7c were associated with CF in PCa patients and functioned partially as independent prognostic marker. Validation of the data using an independent high-risk study cohort revealed that let-7b, but not let-7c, has impact as an independent prognostic marker for BCR and CF. Furthermore, we identified HMGA1, a non-histone protein, as a new target of let-7b and found correlation of let-7b down-regulation with HMGA1 over-expression in primary PCa samples. Conclusion Our findings define a distinct miRNA expression profile in PCa cases with early CF and identified let-7b as prognostic biomarker in high-risk PCa. This study highlights the importance of let-7b as tumor suppressor miRNA in high-risk PCa and presents a basis to improve individual therapy for high-risk PCa patients.

A Stratified Model for Psychosis Prediction in Clinical Practice

Objective: Impaired cognition is an important dimension in psychosis and its at-risk states. Research on the value of impaired cognition for psychosis prediction in at-risk samples, however, mainly relies on study-specific sample means of neurocognitive tests, which unlike widely available general test norms are difficult to translate into clinical practice. The aim of this study was to explore the combined predictive value of at-risk criteria and neurocognitive deficits according to test norms with a risk stratification approach. Method: Potential predictors of psychosis (neurocognitive deficits and at-risk criteria) over 24 months were investigated in 97 at-risk patients. Results: The final prediction model included (1) at-risk criteria (attenuated psychotic symptoms plus subjective cognitive disturbances) and (2) a processing speed deficit (digit symbol test). The model was stratified into 4 risk classes with hazard rates between 0.0 (both predictors absent) and 1.29 (both predictors present). Conclusions: The combination of a processing speed deficit and at-risk criteria provides an optimized stratified risk assessment. Based on neurocognitive test norms, the validity of our proposed 3 risk classes could easily be examined in independent at-risk samples and, pending positive validation results, our approach could easily be applied in clinical practice in the future.

Illusory predictors: Generalizability of findings in cocaine treatment retention research.

Treatment retention is of paramount importance in cocaine treatment research as treatment completion rates are often 50% or less. Failure to retain cocaine patients in treatment has both significant research and clinical implications. In this paper we qualitatively and quantitatively demonstrate the inconsistency found across analyses of retention predictors in order to highlight the problem. First, a qualitative review of the published literature was undertaken to identify the frequency of predictors studied and their relations to treatment retention. Second, an empirical demonstration of predictor stability was conducted by testing a common set of variables across three similar 12-week cocaine clinical trials conducted by the same investigators in the same research clinic within a five-year period. Results of the literature review indicated inconsistently selected variables of convenience, widely varying statistical procedures, and discrepant findings of significance. Further, quantitative analyses resulted in discrepancies in variables identified as significant predictors of retention among the three studies. Potential sources of heterogeneity affecting the consistency of findings across studies and recommendations to improve the validity and generalizability of predictor findings in future studies are proposed.

What are predictors for patients' quality of life after pelvic ring fractures?

Background Our knowledge of factors influencing mortality of patients with pelvic ring injuries and the impact of associated injuries is currently based on limited information. Questions/purposes Weidentified the (1) causes and time of death, (2) demography, and (3) pattern and severity of injuries in patients with pelvic ring fractures who did not survive. Methods We prospectively collected data on 5340 patients listed in the German Pelvic Trauma Registry between April 30, 2004 and July 29, 2011; 3034 of 5340 (57%) patientswere female. Demographic data and parameters indicating the type and severity of injury were recorded for patients who died in hospital (nonsurvivors) and compared with data of patients who survived (survivors). The median followup was 13 days (range, 0–1117 days). Results A total of 238 (4%) patients died a median of 2 days after trauma. The main cause of death was massive bleeding (34%), predominantly from the pelvic region (62% of all patients who died because of massive bleeding). Fifty six percent of nonsurvivors and 43% of survivors were male. Nonsurvivors were characterized by a higher incidence of complex pelvic injuries (32% versus 8%), less isolated pelvic ring fractures (13% versus 49%), lower initial blood hemoglobin concentration (6.7 ± 2.9 versus 9.8 ± 3.0 g/dL) and systolic arterial blood pressure (77 ± 27 versus 106 ± 24 mmHg), and higher injury severity score (ISS) (35 ± 16 versus 15 ± 12). Conclusion Patients with pelvic fractures who did not survive were characterized by male gender, severe multiple trauma, and major hemorrhage.

Serious suicidal behaviors: socio-demographic and clinical features in a multinational, multicenter sample

BACKGROUND: Declared suicidal intent and physical danger are both considered important components in defining suicidal behaviors (SB). AIMS: 1) To investigate characteristics of serious suicidal behaviors (SSB), defined by either suicidal intent or lethality; 2) To determine any difference in terms of socio-demographic, clinical and/or service usage variables between SSB and non-serious suicidal behaviors (NSSB). METHODS: A total of 2631 contacts for SB were registered in the context of the MONSUE (Monitoring Suicidal Behavior in Europe) study project. Demographic and clinical information were registered. ICD-10 was used for classifying data about psychiatric diagnoses, methods used for SB and injuries reported. Clear intentionality, high-case fatality methods and serious injuries all defined SSB (n = 1169; 44.4%) RESULTS: SSB were more often preceded by a contact with an inpatient (either psychiatric or somatic) rather than an outpatient service. Among those having a previous history of SB, SSB subjects had fewer contacts with health services before the previous attempt. The strongest predictors for SSB appeared to be older age and not professing a religion. CONCLUSION: Many of the known factors contributing to the risk of completed suicide were also present for SSB. Our findings on service usage by suicide attempters show which aspects of mental health services should be strengthened in order to improve suicide prevention.

Can quantitative EEG measures predict clinical outcome in subjects at Clinical High Risk for psychosis? A prospective multicenter study

BACKGROUND Prediction studies in subjects at Clinical High Risk (CHR) for psychosis are hampered by a high proportion of uncertain outcomes. We therefore investigated whether quantitative EEG (QEEG) parameters can contribute to an improved identification of CHR subjects with a later conversion to psychosis. METHODS This investigation was a project within the European Prediction of Psychosis Study (EPOS), a prospective multicenter, naturalistic field study with an 18-month follow-up period. QEEG spectral power and alpha peak frequencies (APF) were determined in 113 CHR subjects. The primary outcome measure was conversion to psychosis. RESULTS Cox regression yielded a model including frontal theta (HR=1.82; [95% CI 1.00-3.32]) and delta (HR=2.60; [95% CI 1.30-5.20]) power, and occipital-parietal APF (HR=.52; [95% CI .35-.80]) as predictors of conversion to psychosis. The resulting equation enabled the development of a prognostic index with three risk classes (hazard rate 0.057 to 0.81). CONCLUSIONS Power in theta and delta ranges and APF contribute to the short-term prediction of psychosis and enable a further stratification of risk in CHR samples. Combined with (other) clinical ratings, EEG parameters may therefore be a useful tool for individualized risk estimation and, consequently, targeted prevention.

Is Living With Psychosis Demoralizing? Insight, Self-stigma, and Clinical Outcome Among People With Schizophrenia Across 1 Year

Lack of insight is a major target in the treatment of schizophrenia. However, insight may have undesirable effects on self-concept and motivation that can hinder recovery. This study aimed to examine the link between insight, self-stigma, and demoralization as predictors of symptoms and functioning. Insight, self-stigma, depressive and psychotic symptoms, and functioning were assessed among 133 outpatients with schizophrenia at baseline and 12 months later. The data were analyzed by hierarchical multiple linear regressions. More insight at baseline and an increase in self-stigma over 12 months predicted more demoralization at follow-up. Insight at baseline was not associated with any outcome variable, but self-stigma at baseline was related to poorer functioning and more positive symptoms at follow-up. More demoralization at baseline predicted poorer functioning 12 months later. Demoralization did not mediate the relationship between self-stigma at baseline and functioning after 1 year. Given the decisive role of self-stigma regarding recovery from schizophrenia, dysfunctional beliefs related to illness and the self should be addressed in treatment. Different psychotherapeutical approaches are discussed.

Recurrent stroke predictors differ in medically treated patients with pathogenic vs other PFOs

OBJECTIVE: To examine predictors of stroke recurrence in patients with a high vs a low likelihood of having an incidental patent foramen ovale (PFO) as defined by the Risk of Paradoxical Embolism (RoPE) score.METHODS: Patients in the RoPE database with cryptogenic stroke (CS) and PFO were classified as having a probable PFO-related stroke (RoPE score of >6, n = 647) and others (RoPE score of clinical, 5 radiologic, and 3 echocardiographic variables for associations with stroke recurrence using Cox survival models with component database as a stratification factor. An interaction with RoPE score was checked for the variables that were significant.RESULTS: Follow-up was available for 92%, 79%, and 57% at 1, 2, and 3 years. Overall, a higher recurrence risk was associated with an index TIA. For all other predictors, effects were significantly different in the 2 RoPE score categories. For the low RoPE score group, but not the high RoPE score group, older age and antiplatelet (vs warfarin) treatment predicted recurrence. Conversely, echocardiographic features (septal hypermobility and a small shunt) and a prior (clinical) stroke/TIA were significant predictors in the high but not low RoPE score group.CONCLUSION: Predictors of recurrence differ when PFO relatedness is classified by the RoPE score, suggesting that patients with CS and PFO form a heterogeneous group with different stroke mechanisms. Echocardiographic features were only associated with recurrence in the high RoPE score group.

Predictors of Permanent Pacemaker Implantation in Patients With Severe Aortic Stenosis Undergoing TAVR

Background Atrioventricular (AV) conduction disturbances requiring permanent pacemaker (PPM) implantation may complicate transcatheter aortic valve replacement (TAVR). Available evidence on predictors of PPM is sparse and derived from small studies. Objectives The objective of this study was to provide summary effect estimates for clinically useful predictors of PPM implantation after TAVR. Methods We performed a systematic search for studies that reported the incidence of PPM implantation after TAVR and that provided raw data for the predictors of interest. Data on study, patient, and procedural characteristics were abstracted. Crude risk ratios (RRs) and 95% confidence intervals for each predictor were calculated by use of random effects models. Stratified analyses by type of implanted valve were performed. Results We obtained data from 41 studies that included 11,210 TAVR patients, of whom 17% required PPM implantation after intervention. The rate of PPM ranged from 2% to 51% in individual studies (with a median of 28% for the Medtronic CoreValve Revalving System [MCRS] and 6% for the Edwards SAPIEN valve [ESV]). The summary estimates indicated increased risk of PPM after TAVR for men (RR: 1.23; p < 0.01); for patients with first-degree AV block (RR: 1.52; p < 0.01), left anterior hemiblock (RR: 1.62; p < 0.01), or right bundle branch block (RR: 2.89; p < 0.01) at baseline; and for patients with intraprocedural AV block (RR: 3.49; p < 0.01). These variables remained significant predictors when only patients treated with the MCRS bioprosthesis were considered. The data for ESV were limited. Unadjusted estimates indicated a 2.5-fold higher risk for PPM implantation for patients who received the MCRS than for those who received the ESV. Conclusions Male sex, baseline conduction disturbances, and intraprocedural AV block emerged as predictors of PPM implantation after TAVR. This study provides useful tools to identify high-risk patients and to guide clinical decision making before and after intervention.

Prevalence and predictors of fatigue in glioblastoma: a prospective study.

BACKGROUND The main goal of this study was to assess frequency, clinical correlates, and independent predictors of fatigue in a homogeneous cohort of well-defined glioblastoma patients at baseline prior to combined radio-chemotherapy. METHODS We prospectively included 65 glioblastoma patients at postsurgical baseline and assessed fatigue, sleepiness, mean bedtimes, mood disturbances, and clinical characteristics such as clinical performance status, presenting symptomatology, details on neurosurgical procedure, and tumor location and diameter as well as pharmacological treatment including antiepileptic drugs, antidepressants, and use of corticosteroids. Data on fatigue and sleepiness were measured with the Fatigue Severity Scale and the Epworth Sleepiness Scale, respectively, and compared with 130 age- and sex-matched healthy controls. RESULTS We observed a significant correlation between fatigue and sleepiness scores in both patients (r = 0.26; P = .04) and controls (r = 0.36; P < .001). Only fatigue appeared to be more common in glioblastoma patients than in healthy controls (48% vs 11%; P < .001) but not the frequency of sleepiness (22% vs 19%; P = .43). Female sex was associated with increased fatigue frequency among glioblastoma patients but not among control participants. Multiple linear regression analyses identified depression, left-sided tumor location, and female sex as strongest associates of baseline fatigue severity. CONCLUSIONS Our findings indicate that glioblastoma patients are frequently affected by fatigue at baseline, suggesting that factors other than those related to radio- or chemotherapy have significant impact, particularly depression and tumor localization.

The mini-clinical evaluation exercise during medical clerkships: are learning needs and learning goals aligned?

OBJECTIVES The generation of learning goals (LGs) that are aligned with learning needs (LNs) is one of the main purposes of formative workplace-based assessment. In this study, we aimed to analyse how often trainer–student pairs identified corresponding LNs in mini-clinical evaluation exercise (mini-CEX) encounters and to what degree these LNs aligned with recorded LGs, taking into account the social environment (e.g. clinic size) in which the mini-CEX was conducted. METHODS Retrospective analyses of adapted mini-CEX forms (trainers’ and students’ assessments) completed by all Year 4 medical students during clerkships were performed. Learning needs were defined by the lowest score(s) assigned to one or more of the mini-CEX domains. Learning goals were categorised qualitatively according to their correspondence with the six mini-CEX domains (e.g. history taking, professionalism). Following descriptive analyses of LNs and LGs, multi-level logistic regression models were used to predict LGs by identified LNs and social context variables. RESULTS A total of 512 trainers and 165 students conducted 1783 mini-CEXs (98% completion rate). Concordantly, trainer–student pairs most often identified LNs in the domains of ‘clinical reasoning’ (23% of 1167 complete forms), ‘organisation/efficiency’ (20%) and ‘physical examination’ (20%). At least one ‘defined’ LG was noted on 313 student forms (18% of 1710). Of the 446 LGs noted in total, the most frequently noted were ‘physical examination’ (49%) and ‘history taking’ (21%). Corresponding LNs as well as social context factors (e.g. clinic size) were found to be predictors of these LGs. CONCLUSIONS Although trainer–student pairs often agreed in the LNs they identified, many assessments did not result in aligned LGs. The sparseness of LGs, their dependency on social context and their partial non-alignment with students’ LNs raise questions about how the full potential of the mini-CEX as not only a ‘diagnostic’ but also an ‘educational’ tool can be exploited.

Predicting 3-year mortality after percutaneous coronary intervention: updated logistic clinical SYNTAX score based on patient-level data from 7 contemporary stent trials

OBJECTIVES This study aimed to update the Logistic Clinical SYNTAX score to predict 3-year survival after percutaneous coronary intervention (PCI) and compare the performance with the SYNTAX score alone. BACKGROUND The SYNTAX score is a well-established angiographic tool to predict long-term outcomes after PCI. The Logistic Clinical SYNTAX score, developed by combining clinical variables with the anatomic SYNTAX score, has been shown to perform better than the SYNTAX score alone in predicting 1-year outcomes after PCI. However, the ability of this score to predict long-term survival is unknown. METHODS Patient-level data (N = 6,304, 399 deaths within 3 years) from 7 contemporary PCI trials were analyzed. We revised the overall risk and the predictor effects in the core model (SYNTAX score, age, creatinine clearance, and left ventricular ejection fraction) using Cox regression analysis to predict mortality at 3 years. We also updated the extended model by combining the core model with additional independent predictors of 3-year mortality (i.e., diabetes mellitus, peripheral vascular disease, and body mass index). RESULTS The revised Logistic Clinical SYNTAX models showed better discriminative ability than the anatomic SYNTAX score for the prediction of 3-year mortality after PCI (c-index: SYNTAX score, 0.61; core model, 0.71; and extended model, 0.73 in a cross-validation procedure). The extended model in particular performed better in differentiating low- and intermediate-risk groups. CONCLUSIONS Risk scores combining clinical characteristics with the anatomic SYNTAX score substantially better predict 3-year mortality than the SYNTAX score alone and should be used for long-term risk stratification of patients undergoing PCI.