Do surrogates predict patient preferences more accurately after a physician-led discussion about advance directives? A randomized controlled trial.

BACKGROUND: Caregivers frequently assume the role of surrogate decision-makers but often are unable to accurately predict patients' preferences. This trial aims to find if the use of the Advance Directives documents as a communication tool, improves the agreement between patients and caregivers. METHODS: This trial occurred in a palliative care service of a Portuguese hospital center. A prospective, single-blinded, controlled, randomized trial, enrolling patients and caregivers as a dyad was conducted. Participants individually fulfilled an Advance Directive document, in which patients reported their end-of-life preferences and caregivers reported their decisions as patients' health surrogates. Dyads were randomly assigned to the Intervention or the Control group, in which the physician respectively promoted an open discussion about patients' Advance Directives or evaluated patients' clinical condition. Caregivers' Advance Directives as surrogates were collected one month later. Proportions of agreement and Cohen's κ were used to access agreement and reliability, respectively, between the dyads. RESULTS: Results from 58 dyads were analyzed. We observed an improvement in agreement between the caregivers' answers and the patients' wishes on two-thirds (8/12) of the answers, in the Intervention group, contrasting to one-quarter (3/12) of the answers, in the Control group, despite statistical significance in differences wasn´t obtained. CONCLUSIONS: Although not reaching statistical significance, the results suggest that discussions of advance directives with physicians may lead to better prepared surrogates. TRIAL REGISTRATION: ClinicalTrials.gov ID NCT05090072 . Retrospectively registered on 22/10/2021.

More than Ownership: The Importance of Relationships with Companion Dogs for the Psychological Adjustment of Fibromyalgia Patients.

OBJECTIVE: This study explored the role of companion dogs for psychological adjustment to pain in patients with fibromyalgia with different levels of social support. It also considered the potential moderating effects of the quality of the owner-dog relationship and the use of interactions with dogs as a coping strategy. SETTING: A cross-sectional approach was followed using an online questionnaire. SUBJECTS AND METHODS: Linear regression analyses were performed on data obtained from 106 participants (dog owners and non-owners). Sub-analyses were performed on 64 dog owners. RESULTS: Complex associations were observed between human social support, dog ownership and anxiety/depression levels. For participants with low levels of social support, owning a dog was associated with higher levels of anxiety and depression. In contrast, for moderate and high levels of social support, owning a dog was associated with lower levels of anxiety and depression. Sub-analyses showed that participants in this study actively used interactions with companion dogs to manage their pain more frequently than other pain coping strategies. Among those interactions, patting and stroking the dog to cope with pain was associated with lower anxiety levels, even after adjusting for social support. Emotional closeness with the dog was associated with lower depression levels. CONCLUSIONS: Obtained results highlight the importance to go beyond mere ownership when addressing the effects of companion dogs and suggest that the development of emotional ties with companion dogs and the active use of interactions with these animals to cope with pain may contribute to better psychological adjustment in patients with fibromyalgia, regardless of human social support.

Presumed post-mortem donors: the degree of information among university students.

BACKGROUND: Organ transplantation represents the most effective and acceptable therapy for end-stage organ failure. However, its frequent practice often leads to a shortage of organs worldwide. To solve this dilemma, some countries, such as Portugal, have switched from an opt-in to an opt-out system, which has raised concerns about respect for individual autonomy. We aimed to evaluate whether young university students are aware of this opt-out system so that they can make informed, autonomous and conscious decisions, as well as to identify the factors that determine a positive attitude toward post-mortem organ donation. METHODS: An observational, cross-sectional study was developed and a questionnaire was administered to first-year students from six faculties of the University of Porto. RESULTS: Of the 841 participants, 60% were unaware that Portugal had adopted an opt-out system. Among the informed individuals, their main sources of information included social media, internet, and family. Furthermore, only 48% of all participants agreed with the current opt-out system. Female sex (p = 0.049; OR 1.393), knowledge of the law (p < 0.001; OR 4.749) and family being the primary source of information (p < 0.001; OR 2.855) were independent factors associated with a positive attitude toward post-mortem organ donation law. CONCLUSIONS: There is a significant lack of knowledge among young university students regarding the presumed post-mortem organ donation law and how it works. Female sex, having family as a primary source of information and being aware of the presumed post-mortem organ donation law are the strongest independent factors that determine a positive attitude toward the opt-out system.

The Entropy Universe.

About 160 years ago, the concept of entropy was introduced in thermodynamics by Rudolf Clausius. Since then, it has been continually extended, interpreted, and applied by researchers in many scientific fields, such as general physics, information theory, chaos theory, data mining, and mathematical linguistics. This paper presents The Entropy Universe, which aims to review the many variants of entropies applied to time-series. The purpose is to answer research questions such as: How did each entropy emerge? What is the mathematical definition of each variant of entropy? How are entropies related to each other? What are the most applied scientific fields for each entropy? We describe in-depth the relationship between the most applied entropies in time-series for different scientific fields, establishing bases for researchers to properly choose the variant of entropy most suitable for their data. The number of citations over the past sixteen years of each paper proposing a new entropy was also accessed. The Shannon/differential, the Tsallis, the sample, the permutation, and the approximate entropies were the most cited ones. Based on the ten research areas with the most significant number of records obtained in the Web of Science and Scopus, the areas in which the entropies are more applied are computer science, physics, mathematics, and engineering. The universe of entropies is growing each day, either due to the introducing new variants either due to novel applications. Knowing each entropy's strengths and of limitations is essential to ensure the proper improvement of this research field.

Complexity of Cardiotocographic Signals as A Predictor of Labor.

Prediction of labor is of extreme importance in obstetric care to allow for preventive measures, assuring that both baby and mother have the best possible care. In this work, the authors studied how important nonlinear parameters (entropy and compression) can be as labor predictors. Linear features retrieved from the SisPorto system for cardiotocogram analysis and nonlinear measures were used to predict labor in a dataset of 1072 antepartum tracings, at between 30 and 35 weeks of gestation. Two groups were defined: Group A-fetuses whose traces date was less than one or two weeks before labor, and Group B-fetuses whose traces date was at least one or two weeks before labor. Results suggest that, compared with linear features such as decelerations and variability indices, compression improves labor prediction both within one (C-Statistics of 0.728) and two weeks (C-Statistics of 0.704). Moreover, the correlation between compression and long-term variability was significantly different in groups A and B, denoting that compression and heart rate variability look at different information associated with whether the fetus is closer to or further from labor onset. Nonlinear measures, compression in particular, may be useful in improving labor prediction as a complement to other fetal heart rate features.

Nonlinear Methods Most Applied to Heart-Rate Time Series: A Review.

The heart-rate dynamics are one of the most analyzed physiological interactions. Many mathematical methods were proposed to evaluate heart-rate variability. These methods have been successfully applied in research to expand knowledge concerning the cardiovascular dynamics in healthy as well as in pathological conditions. Notwithstanding, they are still far from clinical practice. In this paper, we aim to review the nonlinear methods most used to assess heart-rate dynamics. We focused on methods based on concepts of chaos, fractality, and complexity: Poincaré plot, recurrence plot analysis, fractal dimension (and the correlation dimension), detrended fluctuation analysis, Hurst exponent, Lyapunov exponent entropies (Shannon, conditional, approximate, sample entropy, and multiscale entropy), and symbolic dynamics. We present the description of the methods along with their most notable applications.

Computerized analysis of cardiotocograms and ST signals is associated with significant reductions in hypoxic-ischemic encephalopathy and cesarean delivery: an observational study in 38,466 deliveries.

BACKGROUND: Intrapartum cardiotocography is widely used in high-resource countries and remains at the center of fetal monitoring and the decision to intervene, but there is ample evidence of poor reliability in visual interpretation as well as limited accuracy in identifying fetal hypoxia. Combined monitoring of intrapartum cardiotocography and ST segment signals was developed to increase specificity, but analysis relies heavily on intrapartum cardiotocography interpretation and is therefore also affected by the previously referred problems. Computerized analysis was developed to overcome these limitations, aiding in the quantification of parameters that are difficult to evaluate visually, such as variability, integrating the complex guidelines of combined intrapartum cardiotocography and ST analysis, and using visual and sound alerts to prompt health care professionals to reevaluate features associated with fetal hypoxia. OBJECTIVE: The objective of the study was to evaluate the effect of introducing a central fetal monitoring system with computerized analysis of intrapartum cardiotocography and ST signals into the labor ward of a tertiary care university hospital in which all women are continuously monitored with intrapartum cardiotocography. The incidence of adverse perinatal outcomes and intervention rates was evaluated over time. STUDY DESIGN: In this retrospective cohort study, yearly rates of hypoxic-ischemic encephalopathy, instrumental vaginal delivery, overall cesarean delivery, and urgent cesarean delivery were obtained from the hospital's clinical databases. The rates occurring in the period from January 2001 to December 2003, before the introduction of the central monitoring system with computerized analysis of intrapartum cardiotocography and ST signals (Omniview-SisPorto), were compared with those occurring from January 2004 to December 2014, after the introduction of the system. All rates were calculated with 95% confidence intervals. RESULTS: A total of 38,466 deliveries occurred during this period. After introduction of the system, there was a significant decrease in the number of hypoxic-ischemic encephalopathy cases per 1000 births (5.3%, 95% confidence interval [4.0-7.0] vs 2.2%, 95% confidence interval [1.7-2.8]; relative risk, 0.42, 95% confidence interval [0.29-0.61]), overall cesarean delivery rates (29.9%, 95% confidence interval [28.9-30.8] vs 28.3%, 95% confidence interval [27.8-28.8]; relative risk, 0.96, 95% confidence interval [0.92-0.99]), and urgent cesarean deliveries (21.6%, 95% confidence interval [20.7-22.4] vs 19.2%, 95% confidence interval [18.8-19.7]; relative risk, 0.91, 95% confidence interval [0.87-0.95]). The instrumental vaginal delivery rate increased (19.5%, 95% confidence interval [18.7-20.3] vs 21.4%, 95% confidence interval [21.0-21.9; relative risk, 1.07, 95% confidence interval 1.02-1.13]. CONCLUSION: Introduction of computerized analysis of intrapartum cardiotocography and ST signals in a tertiary care hospital was associated with a significant reduction in the incidence of hypoxic-ischemic encephalopathy and a modest reduction in cesarean deliveries.

Effect of clinical information and previous exam execution on observer agreement and reliability in the analysis of hysteroscopic video-recordings.

INTRODUCTION: Inter-observer agreement and reliability in hysteroscopic image assessment remain uncertain and the type of factors that may influence it has only been studied in relation to the experience of hysteroscopists. We aim to assess the effect of clinical information and previous exam execution on observer agreement and reliability in the analysis of hysteroscopic video-recordings. MATERIALS AND METHODS: Ninety hysteroscopies were video-recorded and randomized into a group without (Group 1) and with clinical information (Group 2). The videos were independently analyzed by three hysteroscopists, regarding lesion location, dimension, and type, as well as decision to perform a biopsy. One of the hysteroscopists had executed all the exams before. Proportions of agreement (PA) and kappa statistics (κ) with 95% confidence intervals (95% CI) were used. RESULTS: In Group 2, there was a higher proportion of a normal diagnosis (p < 0.001) and a lower proportion of biopsies recommended (p = 0.027). Observer agreement and reliability were better in Group 2, with the PA and κ ranging, respectively, from 0.73 (95% CI 0.62, 0.83) and 0.44 (95% CI 0.26, 0.63), for image quality, to 0.94 (95% CI 0.88, 0.99) and 0.85 (95% CI 0.65, 0.95), for the decision to perform a biopsy. Execution of the exams before the analysis of the video-recordings did not significantly affect the results. CONCLUSION: With clinical information, agreement and reliability in the overall analysis of hysteroscopic video-recordings may reach almost perfect results and this was not significantly affected by the execution of the exams before the analysis. However, there is still uncertainty in the analysis of specific endometrial cavity abnormalities.

Do students from public schools fare better in medical school than their colleagues from private schools? If so, what can we learn from this?

BACKGROUND: Internal grade inflation is a documented practice in secondary schools (mostly in private schools) that jeopardises fairness with regard to access to medical school. However, it is frequently assumed that the higher internal grades are in fact justifiable, as they correspond to better preparation of students in private schools in areas that national exams do not cover but nevertheless are important. Consequently, it is expected that students from private schools will succeed better in medical school than their colleagues, or at least not perform worse. We aimed to study whether students from private schools do fare better in medical school than their colleagues from public schools, even after adjusting for internal grade inflation. METHODS: We analysed all students that entered into a medical course from 2007 to 2014. A linear regression was performed using mean grades for the 1st-year curse units (CU) of the medical school curriculum as a dependent variable and student gender, the nature of students' secondary school (public/private), and whether their secondary school highly inflated grades as independent variables. A logistic regression was also performed, modelling whether or not students failed at least one CU exam during the 1st year of medical school as a function of the aforementioned independent variables. RESULTS: Of the 1709 students analysed, 55% came from public secondary schools. Private (vs. public) secondary school (ß = - 0.459, p < 0.001) and whether secondary schools highly inflated grades (ß = - 0.246, p = 0.003) were independent factors that significantly influenced grades during the first year of medical school. Having attended a private secondary school also significantly increased the odds of a student having failed at least one CU exam during the 1st year of medical school (OR = 1.33), even after adjusting for whether or not the secondary school used highly inflated grades. CONCLUSIONS: It is important to further discuss what we can learn from the fact that students from public secondary schools seem to be better prepared for medical school teaching methodologies than their colleagues from private ones and the implications for the selection process.

Agreement and accuracy using the FIGO, ACOG and NICE cardiotocography interpretation guidelines.

INTRODUCTION: One of the limitations reported with cardiotocography is the modest interobserver agreement observed in tracing interpretation. This study compared agreement, reliability and accuracy of cardiotocography interpretation using the International Federation of Gynecology and Obstetrics, American College of Obstetrics and Gynecology and National Institute for Health and Care Excellence guidelines. MATERIAL AND METHODS: A total of 151 tracings were evaluated by 27 clinicians from three centers where International Federation of Gynecology and Obstetrics, American College of Obstetrics and Gynecology and National Institute for Health and Care Excellence guidelines were routinely used. Interobserver agreement was evaluated using the proportions of agreement and reliability with the κ statistic. The accuracy of tracings classified as "pathological/category III" was assessed for prediction of newborn acidemia. For all measures, 95% confidence interval were calculated. RESULTS: Cardiotocography classifications were more distributed with International Federation of Gynecology and Obstetrics (9, 52, 39%) and National Institute for Health and Care Excellence (30, 33, 37%) than with American College of Obstetrics and Gynecology (13, 81, 6%). The category with the highest agreement was American College of Obstetrics and Gynecology category II (proportions of agreement = 0.73, 95% confidence interval 0.70-76), and the ones with the lowest agreement were American College of Obstetrics and Gynecology categories I and III. Reliability was significantly higher with International Federation of Gynecology and Obstetrics (κ = 0.37, 95% confidence interval 0.31-0.43), and National Institute for Health and Care Excellence (κ = 0.33, 95% confidence interval 0.28-0.39) than with American College of Obstetrics and Gynecology (κ = 0.15, 95% confidence interval 0.10-0.21); however, all represent only slight/fair reliability. International Federation of Gynecology and Obstetrics and National Institute for Health and Care Excellence showed a trend towards higher sensitivities in prediction of newborn acidemia (89 and 97%, respectively) than American College of Obstetrics and Gynecology (32%), but the latter achieved a significantly higher specificity (95%). CONCLUSIONS: With American College of Obstetrics and Gynecology guidelines there is high agreement in category II, low reliability, low sensitivity and high specificity in prediction of acidemia. With International Federation of Gynecology and Obstetrics and National Institute for Health and Care Excellence guidelines there is higher reliability, a trend towards higher sensitivity, and lower specificity in prediction of acidemia.

The effect of a test ordering software intervention on the prescription of unnecessary laboratory tests - a randomized controlled trial.

BACKGROUND: The way software for electronic health records and laboratory tests ordering systems are designed may influence physicians' prescription. A randomised controlled trial was performed to measure the impact of a diagnostic and laboratory tests ordering system software modification. METHODS: Participants were family physicians working and prescribing diagnostic and laboratory tests. The intervention group had a modified software with a basic shortcut menu changes, where some tests were withdrawn or added, and with the implementation of an evidence-based decision support based on United States Preventive Services Task Force (USPSTF) recommendations. This intervention group was compared with usual software (control group). The outcomes were the number of tests prescribed from those: withdrawn from the basic menu; added to the basic menu; marked with green dots (USPSTF's grade A and B); and marked with red dots (USPSTF's grade D). RESULTS: Comparing the monthly average number of tests prescribed before and after the software modification, from those tests that were withdrawn from the basic menu, the control group prescribed 33.8 tests per 100 consultations before and 30.8 after (p = 0075); the intervention group prescribed 31.3 before and 13.9 after (p < 0001). Comparing the tests prescribed between both groups during the intervention, from those tests that were withdrawn from the basic menu, the intervention group prescribed a monthly average of 14.0 vs. 29.3 tests per 100 consultations in the control group (p < 0.001). From those tests that are USPSTF's grade A and B, intervention group prescribed 66.8 vs. 74.1 tests per 100 consultations in the control group (p = 0.070). From those tests categorised as USPSTF grade D, the intervention group prescribed an average of 9.8 vs. 11.8 tests per 100 consultations in the control group (p = 0.003). CONCLUSIONS: Removing unnecessary tests from a quick shortcut menu of the diagnosis and laboratory tests ordering system had a significant impact and reduced unnecessary prescription of tests. The fact that it was not possible to perform the randomization at the family physicians' level, but only of the computer servers is a limitation of our study. Future research should assess the impact of different tests ordering systems during longer periods. TRIAL REGISTRATION: ISRCTN45427977 , May 1st 2014 (retrospectively registered).

Longitudinal evaluation of computerized cardiotocographic parameters throughout pregnancy in normal fetuses: a prospective cohort study.

INTRODUCTION: The longitudinal cardiotocographic (CTG) changes throughout pregnancy in normal fetuses have never been fully described. We aimed at characterizing the evolution of CTG parameters in healthy fetuses, from 24 to 41 weeks of gestation. MATERIAL AND METHODS: A prospective cohort study was conducted in singleton fetuses without structural abnormalities on second-trimester ultrasound. At least one CTG was performed in each of the following intervals: 24-26 weeks(+6d) , 27-29 weeks(+6d) , 30-32 weeks(+6d) , 33-35 weeks(+6d) , 36-38 weeks(+6d) and ≥39 weeks; tracings were analyzed by the OMNIVIEW-SISPORTO 3.6 system. Cases of preterm delivery, fetal death, birthweight under the 10th percentile, low five-minute Apgar, umbilical artery acidemia or neonatal intensive care unit admission were subsequently excluded. RESULTS: A total of 1049 eligible tracings were obtained from 145 fetuses. There was a significant increase over time in average long-term variability (LTV), average short-term variability (STV), number of accelerations and uterine contractions. Conversely, fetal heart rate (FHR) baseline and number of decelerations decreased. A high inter-fetal variability was observed, but there was considerable intra-fetal consistency. Fetuses showing a marked decrease in FHR baseline and those with a marked increase in average LTV had a significantly lower birthweight. Cesarean section rate was significantly higher in cases with a decrease in average STV throughout gestation. CONCLUSIONS: This prospective longitudinal study shows an evolution in computerized CTG parameters during pregnancy, indicating the need to adapt interpretation criteria based on gestational age. The high inter-fetal variability and considerable intra-fetal consistency suggests the possible value of using each fetus as its own reference in serial assessments.

How to promote adverse drug reaction reports using information systems - a systematic review and meta-analysis.

BACKGROUND: Adverse drug reactions (ADRs) are a well-recognized public health problem and a major cause of death and hospitalization in developed countries. The safety of a new drug cannot be established until it has been on the market for several years. Keeping drug reactions under surveillance through pharmacovigilance systems is indispensable. However, underreporting is a major issue that undermines the effectiveness of spontaneous reports. Our work presents a systematic review on the use of information systems for the promotion of ADR reporting. The aim of this work is to describe the state of the art information systems used to promote adverse drug reaction reporting. METHODS: A systematic review was performed with quantitative analysis of studies describing or evaluating the use of information systems to promote adverse drug reaction reporting. Studies with data related to the number of ADRs reported before and after each intervention and the follow-up period were included in the quantitative analysis. RESULTS: From a total of 3865 articles, 33 articles were included in the analysis; these articles described 29 different projects. Most of the projects were on a regional scale (62 %) and were performed in a hospital context (52 %). A total of 76 % performed passive promotion of ADR reporting and used web-based software (55 %). A total of 72 % targeted healthcare professionals and 24 % were oriented to patient ADR reporting. We performed a meta-analysis of 7 of the 29 projects to calculate the aggregated measure of the ADR reporting increase, which had an overall measure of 2.1 (indicating that the interventions doubled the number of ADRs reported). CONCLUSIONS: We found that most of the projects performed passive promotion of ADR reporting (i.e., facilitating the process). They were developed in hospitals and were tailored to healthcare professionals. These interventions doubled the number of ADR reports. We believe that it would be useful to develop systems to assist healthcare professionals with completing ADR reporting within electronic health records because this approach seems to be an efficient method to increase the ADR reporting rate. When this approach is not possible, it is essential to have a tool that is easily accessible on the web to report ADRs. This tool can be promoted by sending emails or through the inclusion of direct hyperlinks on healthcare professionals' desktops.

Nurses' attitudes and spontaneous adverse drug reaction reporting: a case-control study in Portugal.

AIM: To identify the attitudes and knowledge associated with adverse drug reactions (ADR) under-reporting by nurses. BACKGROUND: The voluntary reporting system is fundamental for expediting the detection of ADR during post-marketing surveillance. METHODS: We performed a case-control study. A self-administered questionnaire was sent by mail to 1325 nurses. The knowledge and attitudes related to ADR under-reporting were primarily based on Inman's seven deadly sins. RESULTS: The overall response rate was 34.2%. Nurses working in primary care were 12-fold more likely to report an ADR. A change of attitude increased the probability of ADR reporting for:'The belief that the one case an individual nurse might see could not contribute to medical knowledge'; 'I do not know how the information reported is used by the system'; 'I would be more likely to report if the method was easier'; 'I think the most correct way to report is to inform the doctor' and 'I do not have time to think about the involvement of the drug in ADRs'. CONCLUSIONS: Our study shows that the beliefs of nurses, such as 'one single report would not make any difference' and 'the pharmacovigilance system is very complex', act as a barrier to ADR reporting. IMPLICATIONS FOR NURSING MANAGEMENT: It is important to clarify the ADR reporting procedure and increase the nurses reporting rate.

Improvements in fetal heart rate analysis by the removal of maternal-fetal heart rate ambiguities.

BACKGROUND: Misinterpretation of the maternal heart rate (MHR) as fetal may lead to significant errors in fetal heart rate (FHR) interpretation. In this study we hypothesized that the removal of these MHR-FHR ambiguities would improve FHR analysis during the final hour of labor. METHODS: Sixty-one MHR and FHR recordings were simultaneously acquired in the final hour of labor. Removal of MHR-FHR ambiguities was performed by subtracting MHR signals from their FHR counterparts when the absolute difference between the two was less or equal to 5 beats per minute. Major MHR-FHR ambiguities were defined when they exceeded 1% of the tracing. Maternal, fetal and neonatal characteristics were evaluated in cases where major MHR-FHR ambiguities occurred and computer analysis of FHR recordings was compared, before and after removal of the ambiguities. RESULTS: Seventy-two percent of tracings (44/61) exhibited episodes of major MHR-FHR ambiguities, which were not significantly associated with any maternal, fetal or neonatal characteristics, but were associated with MHR accelerations, FHR signal loss and decelerations. Removal of MHR-FHR ambiguities resulted in a significant decrease in FHR decelerations, and improvement in FHR tracing classification. CONCLUSIONS: FHR interpretation during the final hour of labor can be significantly improved by the removal of MHR-FHR ambiguities.

Lowered national cesarean section rates after a concerted action.

OBJECTIVE: To evaluate national cesarean section (CS) rates and other obstetric indicators after a concerted action to reduce CS rates was undertaken in Portugal from 2010 onwards. This action was based on the transmission of information and training of healthcare professionals, together with the inclusion of CS rates as a criterion for hospital funding. DESIGN: Retrospective observational population-based study. SETTING: Portugal. POPULATION: Births occurring in Portugal between 2000 and 2014. METHODS: Governmental sources were used to obtain data on national CS, perinatal and maternal mortality rates. Rates of instrumental vaginal delivery, vaginal birth after cesarean (VBAC), hypoxia-related complications and perineal lacerations were retrieved for state-owned hospitals. MAIN OUTCOME MEASURES: CS, perinatal and maternal mortality, instrumental vaginal delivery, VBAC, hypoxia-related complications and perineal lacerations. RESULTS: After a continuous rise between 2000 and 2009, national CS rates declined significantly over the following 5 years (36.6% vs. 33.1%, time trend p ≤ 0.001). Perinatal mortality maintained a downward trend during this period, while maternal mortality remained unchanged. Rates of instrumental vaginal delivery, VBAC and perineal lacerations increased, while the incidence of hypoxia-related complications decreased. CONCLUSIONS: A concerted action based on the transmission of information and training of healthcare professionals, together with the inclusion of CS rates as a criterion for hospital funding, was followed by a significant reduction in national CS rates, as well as an improvement in most related obstetric indicators. There may be an association between the reported intervention and the observed changes.

Differences between external and internal fetal heart rate monitoring during the second stage of labor: a prospective observational study.

OBJECTIVE: To compare fetal heart rate (FHR) signals acquired simultaneously by an external ultrasound probe and a scalp electrode during the second stage of labor. METHODS: This was a prospective observational study in a labor ward of a tertiary care university hospital. The population was women in labor with uneventful singleton pregnancies at term. Simultaneous external and internal FHR monitoring was performed in 67 consecutively recruited women during the second stage of labor. Cases were subsequently excluded if the trace length was under 40 min, cesarean birth occurred, or the interval between trace-end and birth exceeded 5 min, leaving a total of 33 traces for analysis. The last 40-60 min of these traces were analyzed by a computer system (Omniview-SisPorto 3.5; Speculum, Lisbon, Portugal) to quantify cardiotocographic parameters. Paired sample t-test and Bland-Altman limits of agreement (LoA) were used for statistical analysis, setting significance at 0.05. The main outcome measures were signal loss, FHR baseline, periodic events, and percentage of periodic events coinciding with contractions. RESULTS: A higher signal loss was observed with external monitoring [10% vs. 4%; P<0.001, LoA=(-6, 18)]. No differences were found in mean FHR baseline [129 bpm vs. 130 bpm, P=0.245, LoA=(-15, 12)], but more accelerations [12 vs. 8, P<0.001, LoA=(-5, 13)] and less decelerations [8 vs. 10, P<0.001, LoA=(-8, 4)] were detected with external monitoring. With this method there were also more accelerations (66% vs. 55%, P=0.036) and less decelerations (68% vs. 81%, P=0.017) coinciding with contractions. CONCLUSIONS: External FHR monitoring during the second stage of labor results in higher signal loss, increased number of accelerations, and decreased number of decelerations when compared with internal monitoring.

Information-based measure of disagreement for more than two observers: a useful tool to compare the degree of observer disagreement.

BACKGROUND: Assessment of disagreement among multiple measurements for the same subject by different observers remains an important problem in medicine. Several measures have been applied to assess observer agreement. However, problems arise when comparing the degree of observer agreement among different methods, populations or circumstances. METHODS: The recently introduced information-based measure of disagreement (IBMD) is a useful tool for comparing the degree of observer disagreement. Since the proposed IBMD assesses disagreement between two observers only, we generalized this measure to include more than two observers. RESULTS: Two examples (one with real data and the other with hypothetical data) were employed to illustrate the utility of the proposed measure in comparing the degree of disagreement. CONCLUSION: The IBMD allows comparison of the disagreement in non-negative ratio scales across different populations and the generalization presents a solution to evaluate data with different number of observers for different cases, an important issue in real situations.A website for online calculation of IBMD and respective 95% confidence interval was additionally developed. The website is widely available to mathematicians, epidemiologists and physicians to facilitate easy application of this statistical strategy to their own data.

Preoperative staging of uterine cancer: can transvaginal ultrasonography play a role?

Introduction: Preoperative staging of uterine cancer has recently been implied as an important contribution to an accurate selection of low-risk cases, ultimately avoiding unnecessary lymph node debulking. The aim of this study was to evaluate the validity of transvaginal ultrasonography (TVS) in preoperative staging of uterine cancer in comparison to pelvic magnetic resonance imaging (MRI) and permanent section. Methods: We conducted a prospective longitudinal multicenter trial between 2017 and 2018. Inclusion criteria comprised cases of endometrial neoplasia histologically confirmed or strong imaging suspicion, candidates for elective surgery as primary treatment. Proportions of Agreement (PA), kappa statistic (K), sensitivity, specificity and accuracy were calculated with 95% confidence intervals (95%CI). Results: Eighty-two patients were eligible for the study, presenting a mean age of 68 years (standard deviation 11). In what concerns the TVS evaluation of myometrial invasion, the subjective and objective methods of Gordon and Karlsson presented a sensitivity of 79%, 79% and 67% [95%CI 63-91; 63-91; 50-81], a specificity of 65%, 58% and 79% [95%CI 49-79; 42-73; 64-89] and an overall accuracy of 72%, 68% and 73% [95%CI 61-81; 57-78; 63-82]. MRI presented respectively a sensitivity, specificity and overall accuracy of 92%, 70% and 82% [95%CI 77-98; 52-85; 71-90]. Regarding cervical involvement, the sensitivity was respectively 31%, 50% and 67% [95%CI 9-61; 21-79; 35-90] for the subjective method, objective TVS and MRI, and the specificity was 98%, 90% and 100% [95%CI 92-100; 77-97; 94;100]. Agreement between TVS and MRI was superior in the assessment of cervical invasion, with PA ranging from 0.82 to 0.93 and K from 0.45 to 0.58, in comparison to myometrial invasion with PA ranging from 0.68 to 0.73 and K from 0.31 to 0.50. Considering the assessment of cervical involvement, as MRI showed a specificity of 100% it is not possible to increase the specificity. However, it was possible to increase the sensitivity, considering the combination of TVS with objective approach and MRI. Conclusion: TVS may have a promising role as a tool for preoperative staging of endometrial carcinoma, presenting a performance that approximates to MRI, with a higher agreement in the assessment of cervical invasion.

Machine learning models based on clinical indices and cardiotocographic features for discriminating asphyxia fetuses-Porto retrospective intrapartum study.

Introduction: Perinatal asphyxia is one of the most frequent causes of neonatal mortality, affecting approximately four million newborns worldwide each year and causing the death of one million individuals. One of the main reasons for these high incidences is the lack of consensual methods of early diagnosis for this pathology. Estimating risk-appropriate health care for mother and baby is essential for increasing the quality of the health care system. Thus, it is necessary to investigate models that improve the prediction of perinatal asphyxia. Access to the cardiotocographic signals (CTGs) in conjunction with various clinical parameters can be crucial for the development of a successful model. Objectives: This exploratory work aims to develop predictive models of perinatal asphyxia based on clinical parameters and fetal heart rate (fHR) indices. Methods: Single gestations data from a retrospective unicentric study from Centro Hospitalar e Universitário do Porto de São João (CHUSJ) between 2010 and 2018 was probed. The CTGs were acquired and analyzed by Omniview-SisPorto, estimating several fHR features. The clinical variables were obtained from the electronic clinical records stored by ObsCare. Entropy and compression characterized the complexity of the fHR time series. These variables' contribution to the prediction of asphyxia perinatal was probed by binary logistic regression (BLR) and Naive-Bayes (NB) models. Results: The data consisted of 517 cases, with 15 pathological cases. The asphyxia prediction models showed promising results, with an area under the receiver operator characteristic curve (AUC) >70%. In NB approaches, the best models combined clinical and SisPorto features. The best model was the univariate BLR with the variable compression ratio scale 2 (CR2) and an AUC of 94.93% [94.55; 95.31%]. Conclusion: Both BLR and Bayesian models have advantages and disadvantages. The model with the best performance predicting perinatal asphyxia was the univariate BLR with the CR2 variable, demonstrating the importance of non-linear indices in perinatal asphyxia detection. Future studies should explore decision support systems to detect sepsis, including clinical and CTGs features (linear and non-linear).