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Longitudinal studies in medically ill patients have shown that the majority of VTE events occur in the posthospital discharge setting within 6 weeks of hospitalization. This, coupled with the short hospital length-of-stay and lack of routine postdischarge thromboprophylaxis in U.S. health care settings, has dampened quality improvement efforts aimed at reducing hospital-acquired VTE. The aim of this multidisciplinary document is to provide an evidence-based framework to guide clinicians in assessing VTE and bleeding risk in hospitalized medically ill patients using an individualized, risk-adapted, and patient-centered approach, with the aim of providing clinical pathways toward the use of appropriate type and duration of available thromboprophylactic agents.As a result of the successful completion of their respective phase III studies compared with vitamin K antagonists (VKAs), four direct oral anticoagulants (DOACs) have been approved for the treatment and secondary prevention of venous thromboembolism (VTE). These DOACs-apixaban, dabigatran, edoxaban, and rivaroxaban-have subsequently seen a steady uptake among clinicians since their approval. Despite the suitability of DOACs for a broad range of patients, they are not appropriate in certain situations, whereas in others they require additional considerations such as dose reductions. Subanalyses of phase III trials and studies on specific VTE patient populations have been conducted to evaluate the safety and efficacy of the DOACs in a broad range of settings, such as patients with renal impairment, patients with cancer, patients of childbearing potential, patients with multiple comorbidities and pediatric patients. Furthermore, many recent guidance documents from important hematological societies and other specialists have incorporated several of these developments. These documents also identify the patients for whom DOACs are not suitable and where traditional anticoagulation options such as heparins or VKAs should be considered instead. This review provides an overview of key VTE patient subgroups, the clinical evidence supporting the use of anticoagulation in these patients, and a discussion of the most appropriate approaches to their management, including considerations such as dosing, acute and extended treatment durations, and DOAC selection.Background The obesity treatment program "Leipziger Adipositasmanagement" is a long-term (i. e., four years long) conservative treatment program which is completely covered by a public health insurance company for patients with obesity grades 2 and 3 (i. e., body mass index > 35 kg/m2). Here we evaluate the effectiveness of the first part of the program which was on average 72 weeks long. Methods Body weight, body circumferences, metabolic and psychological parameters were collected prior to the start (t0) and after completion of the first part (t1). The whole first treatment part was completed by 243 persons. The analysis design was a prospective evaluation of clinical real world data. Results Treatment costs per patient were 2,022 € on average. There were significant clinically meaningful improvements from t0 to t1. On average, patients lost 5 kg (95 % confidence interval, KI 3.8 to 6.2 kg) or 4 % (KI 3.1 to 4.9 %) of their initial body weight. The hemoglobin A1c value decreased from 5.9 % to 5.6 % in all patients and from 6.7 % to 6.2 % in diabetic patients. Further metabolic (e. L-Histidine monohydrochloride monohydrate purchase g., low density lipoprotein and total cholesterol) and psychological (e. g., quality of life) parameters improved significantly as well. Conclusions The available real world data show, that an obesity treatment program, which is completely covered by a public health insurance company, can reach a clinically significant weight loss with metabolic improvements. The treatment program "Leipziger Adipositasmanagement" contributes to improving long-term treatment of obesity in Germany.Novel coronavirus disease 2019 (COVID-19) outbreak has termed as a controllable pandemic, and the entire world has come to a standstill trying to mitigate the disease with health systems. Health care providers, around the globe, are fighting day and night. Currently, rapid testing is taking place with the help of nasopharyngeal, oropharyngeal swab, bronchoalveolar lavage, sputum, urine, and blood. All these approaches are invasive or embarrassing to the infected person. It is observed that salivary glands are hosting severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) because of angiotensin-converting enzyme 2 and the detection of high viral loads in the saliva and is playing a crucial role in virus transmission, especially from individuals showing absolutely no symptoms. Saliva is proving to be a promising noninvasive sample specimen for the diagnosis of COVID-19, thus helping to monitor the infection and prevent it from further spreading by prompt isolation.Introduction Snoring was monitored in patients with obstructive sleep apnea (OSA) using the LEOSound-Monitor and simultaneously polysomnographic (PSG) recording. In obstructive apneas snoring is normally apparent after apnea termination and the beginning of ventilation. We wanted to know how often obstructive apneas are terminated by ventilation in combination with snoring. Methods and intention In 40 patients with OSA (AHI > 15/h) simultaneous polysomnographic recordings were performed amongst long-term respiratory sound monitoring using the LEOSound monitor. Patients' average age was 57 ± 11 years. Average weight was 100 ± 19 kg by a mean body mass index (BMI) of 33 ± 7 kg/m2. 12 out of 40 recordings had to be rejected for further analysis because of artifacts. Snoring recorded by polysomnography was compared with snoring monitored by LEOSound. Results 3778 obstructive apnea episodes were monitored. LEOSound identified snoring in 1921 (51,0 %), polysomnography in 2229 (58,8 %) obstructive apneas. Only in one patient there was a higher difference in snoring episodes between PSG and LEOSound. Discussion In nearly 60 % of obstructive apnea events we found snoring during apnea-terminating hyperpnoea. LEOSound is a good diagnostic tool to monitor snoring. It is necessary to clarify why only 60 % of all obstructive events/hyperpnoea develop snoring. From a pathophysiological point of view opening of collapsed upper airway should lead in a very high percentage to turbulences in airstream and committed snoring.The genus Cistus is taxonomically complex, as taxonomic classification of individual species based on morphological criteria is often difficult and ambiguous. However, specific species contain valuable natural products, especially terpenoids and polyphenols, which exert various biological effects and might therefore be used for treatment of a broad array of disorders. Hence, a fast and reliable method for clear identification of different Cistus (sub-) species is required. Approaches for analysis of secondary metabolite profiles, e.g., with NMR, might remedy the challenging classification of Cistus (sub-) species and help to identify specific markers for differentiation between them. In the present study, 678 samples from wild-growing Cistus populations, including 7 species and 6 subspecies/varieties thereof, were collected in 3 years from populations in 11 countries all over the Mediterranean basin. Samples were extracted with buffered aqueous methanol and analysed with NMR. From the resulting 1D-1H-NOESY and J-Res profile spectra, marker signals or spectral regions for the individual (sub-) species were identified with multivariate statistical tools. By examining the NMR profiles of these extracts, we were able to identify discriminators and specific markers for the investigated Cistus (sub-) species. Various influencing factors, like (sub-) species, wild harvestings of different populations from several countries, numerous collection sites, different years, and cultivation in greenhouses have been considered in this work. As the here identified markers are independent from these influencing factors, the results can be considered a robust model and might be used for future differentiation between Cistus (sub-) species.Background Medication nonadherence and unaffordability are prevalent, burdensome issues in primary care. In response, technology companies are capitalizing on clinical decision support (CDS) to deliver patient-specific information regarding medication adherence and costs to clinicians using electronic health records (EHRs). To maximize adoption and usability, these CDS tools should be designed with consideration of end users' values and preferences. Objective This article evaluates primary care clinicians' values and preferences for a medication adherence and cost CDS. Methods We conducted semistructured interviews with primary care clinicians with prescribing privileges and EHR access to identify clinicians' perceptions of and approaches to assessing medication adherence and costs, and to determine perceived values and preferences for medication adherence and cost CDS. Interviews were conducted until saturation of responses was reached. ATLAS.ti was used for thematic analysis. Results Among 26 clinicians intorm the design, implementation, and EHR integration of future medication and cost CDS tools.Background The increasing availability of molecular and clinical data of cancer patients combined with novel machine learning techniques has the potential to enhance clinical decision support, example, for assessing a patient's relapse risk. While these prediction models often produce promising results, a deployment in clinical settings is rarely pursued. Objectives In this study, we demonstrate how prediction tools can be integrated generically into a clinical setting and provide an exemplary use case for predicting relapse risk in melanoma patients. Methods To make the decision support architecture independent of the electronic health record (EHR) and transferable to different hospital environments, it was based on the widely used Observational Medical Outcomes Partnership (OMOP) common data model (CDM) rather than on a proprietary EHR data structure. The usability of our exemplary implementation was evaluated by means of conducting user interviews including the thinking-aloud protocol and the system usability scale (SUS) questionnaire. Results An extract-transform-load process was developed to extract relevant clinical and molecular data from their original sources and map them to OMOP. Further, the OMOP WebAPI was adapted to retrieve all data for a single patient and transfer them into the decision support Web application for enabling physicians to easily consult the prediction service including monitoring of transferred data. The evaluation of the application resulted in a SUS score of 86.7. Conclusion This work proposes an EHR-independent means of integrating prediction models for deployment in clinical settings, utilizing the OMOP CDM. The usability evaluation revealed that the application is generally suitable for routine use while also illustrating small aspects for improvement.Background Chylothorax following pulmonary resection and lymphadenectomy for cancer is a potential severe complication in thoracic surgery. In the present study, we investigated the efficacy of the nonsurgical approach as well as the need for reoperation after conservative approach failure. Methods Chylothorax was diagnosed when chylous leakage from the chest drainage was observed and confirmed by the presence of triglycerides in the pleural fluid. We initially treated all the patients conservatively with complete oral intake cessation and total parenteral nutrition; if drainage output remained more than 800 mL/d after the first 5 days or major pleural effusion was observed at chest X-ray after chest tube removal, surgical treatment of chylothorax was indicated. Results Between January 1998 and December 2018, 5,072 patients underwent standard anatomical resection and mediastinal lymph node dissection for cancer at our institution. Among them, 30 patients (0.6%) developed chylothorax 20 patients were effectively treated only by nil per os and low-fat diet, while 10 patients (33.
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