Integrated Relaxation Pressure and Its Diagnostic Ability May Vary According to the Conditions Used for HREM Recording.

Integrated Residual Pressure (IRP) measured under conditions alternative to supine single swallows may provide clinically useful information regarding EGJ relaxation. This study aimed to compare IRP values obtained under different situations and explore their potential clinical utility. We analyzed and compared the values of IRP obtained from healthy volunteers and patients with suspected achalasia during supine single swallows (Ssup-IRP), sitting single swallows (Ssit-IRP), supine multiple rapid swallows (Msup-IRP), and sitting multiple rapid swallows (Msit-IRP). We analyzed the HREM recordings of 40 healthy volunteers and 53 patients with suspected achalasia. The four metrics were significantly different from each other in healthy volunteers (Ssup-IRP > Msup-IRP > Ssit-IRP > Msit-IRP) and their corresponding 95th percentiles were substantially distinct (Ssup-IRP: 25.3 mmHg, Ssit-IRP: 20.9 mmHg, Msup-IRP: 15.9 mmHg, and Msit-IRP: 11.9 mm Hg, respectively). Complete agreement among the four metrics in predicting abnormal IRP was found in 39 of the 47 patients with suspected achalasia who completed the protocol. Optimal cutoffs derived from ROC curve analysis demonstrated ≥ 0.95 specificities for detection of impaired EGJ relaxation among patients with suspected achalasia. Among the eight patients with suspected achalasia with normal Ssup-IRP, five demonstrated abnormal Msit-IRP and four abnormal Ssit-IRP. Significant differences of IRP exist depending on the measurement situation, indicating that correct interpretation of IRP values requires specific cutoffs for each situation.The sensitivities of Ssit-IRP and Msit-IRP in detecting defective EGJ relaxation appear to be slightly higher than that of Ssup-IRP.

The Log-Normal zero-inflated cure regression model for labor time in an African obstetric population.

In obstetrics and gynecology, knowledge about how women's features are associated with childbirth is important. This leads to establishing guidelines and can help managers to describe the dynamics of pregnant women's hospital stays. Then, time is a variable of great importance and can be described by survival models. An issue that should be considered in the modeling is the inclusion of women for whom the duration of labor cannot be observed due to fetal death, generating a proportion of times equal to zero. Additionally, another proportion of women's time may be censored due to some intervention. The aim of this paper was to present the Log-Normal zero-inflated cure regression model and to evaluate likelihood-based parameter estimation by a simulation study. In general, the inference procedures showed a better performance for larger samples and low proportions of zero inflation and cure. To exemplify how this model can be an important tool for investigating the course of the childbirth process, we considered the Better Outcomes in Labor Difficulty project dataset and showed that parity and educational level are associated with the main outcomes. We acknowledge the World Health Organization for granting us permission to use the dataset.

Impact assessment on patients' satisfaction and healthcare professionals' commitment of software supporting Directly Observed Treatment, Short-course: A protocol proposal.

Doctors, nurses, and other healthcare professionals use software that affects the patients. Directly Observed Treatment, Short-course is the name given to the tuberculosis control strategy recommended by the World Health Organization. The main goal of this work is to propose a protocol for evaluating the impact of healthcare software supporting Directly Observed Treatment, Short-course on patients, healthcare professionals, and services. The proposed protocol consists of a set of instruments and steps. The instruments are reliable and validated existing questionnaires to be applied before and after using the software tool. The literature points out the need for standards on the software assessment. This is particularly critical when software affects patients directly. The present protocol is a universal tool to assess the impact of software used to support the fight against the tragedy of tuberculosis where a rigorous evaluation of IT in healthcare is highly recommended and of great importance.

On the comparison of risk of death according to different stages of breast cancer via the long-term exponentiated Weibull hazard model.

Long-term survivor models have been extensively used for modelling time-to-event data with a significant proportion of patients who do not experience poor outcome. In this paper, we propose a new long-term survivor hazard model, which accommodates comprehensive families of cure rate models as particular cases, including modified Weibull, exponentiated Weibull, Weibull, exponential and Rayleigh distribution, among others. The maximum likelihood estimation procedure is presented. A simulation study evaluates bias and mean square error of the considered estimation procedure as well as the coverage probabilities of the parameters asymptotic and bootstrap confidence intervals. A real Brazilian dataset on breast cancer illustrates the methodology. From the practical point of view, under our modelling, we provide a parameter that works as a metric to quantify and compare the risk between different stages of the disease. We emphasize that, we developed an online platform for oncologists to calculate the probability of survival of patients diagnosed with breast cancer according to the stage of the disease in real time.

Clinical-Pathological Correlation of KRAS Mutation Status in Metastatic Colorectal Adenocarcinoma.

BACKGROUND: KRAS gene mutations play an important role in the carcinogenesis of colorectal tumors. However, studies that have assessed the association between KRAS gene mutation status and disease characteristics report conflicting results. To assess KRAS gene status (mutated or wild-type) and its association with the clinical, epidemiological, and histopathological features of metastatic colorectal adenocarcinoma as well its association with clinical outcomes. METHODS: Cross-sectional descriptive study in which clinical and histopathological data were collected from the medical records of 65 patients diagnosed with metastatic colorectal adenocarcinoma at the Clinical Oncology Service of the Teaching Hospital of the School of Medicine of Ribeirao Preto, University of Sao Paulo (Hospital das Clinicas da Faculdade de Medicina de Ribeirao Preto, Universidade de Sao Paulo -HCFMRP-USP) between 2005 and 2012 and analyzed based on their KRAS gene status. RESULTS: KRAS gene mutations were found in 49.2% of the tumors, and G/A (25.5%) and Gly12Asp (34.37%) were the most frequent mutations. Among the investigated clinical features (gender, ECOG (Eastern Cooperative Oncology Group), histology, degree of cell differentiation, lymph node ratio, primary tumor site, staging, presence of synchronous metastasis, lung metastasis, and liver metastasis), the association between age less than 65 years with KRAS mutation was statistically significant (P = 0.046). KRAS mutation status did not exhibit a significant correlation with the overall survival of the patients (P = 0.078); however, the cases with KRAS mutation exhibited shorter survival. In the multivariate analysis, synchronous metastasis (P = 0.03) and liver metastasis (P = 0.008) behaved as independent factors of poor prognosis relative to the overall survival of the patients. CONCLUSION: The KRAS mutation status did not exhibit prognostic value in the investigated sample. Among the older patients (> 65 years old), wild-type KRAS was more frequently observed compared to mutated KRAS.