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BACKGROUND The aim of this study was to develop and internally validate a treatment failure risk nomogram in a Chinese population of patients with Drug-Resistant Tuberculosis with surgery therapy. METHODS We developed a prediction model based on a dataset of 132 drug-resistant tuberculosis (DR-TB) patients. The least absolute shrinkage and selection operator regression model was used to optimize feature selection for the treatment failure risk model. Multivariable logistic regression analysis was applied to build a predicting model incorporating the feature selected in the least absolute shrinkage and selection operator regression model. Discrimination, calibration, and clinical usefulness of the predicting model were assessed using the C-index, calibration plot, and decision curve analysis. Internal validation was assessed using the bootstrapping validation. FINDINGS Predictors contained in the prediction nomogram included Lesion, Treatment history, Recurrent chest infection (RCI) and Multidrug-resistant tuberculosis (MDR-TB) or Extensively drug-resistant tuberculosis (XDR-TB). The model displayed good discrimination with a C-index of 0.905 and good calibration. High C-index value of 0.876 could still be reached in the interval validation. Decision curve analysis showed that the nomogram was clinically useful when intervention was decided at the treatment failure possibility threshold of 1%. INTERPRETATION This study developed a novel nomogram with a relatively good accuracy to help clinicians access the risk of treatment failure in MDR/XDR-TB patients when starting surgery. With an estimate of individual risk, clinicians and patients can make more suitable decisions on surgery. This nomogram requires external validation, and further research is needed to determine whether the nomogram is suitable for predicting surgery risk in MDR/XDR-TB patients. OBJECTIVES The infectious diseases team at Kameda Medical Center, Japan, implemented a new outpatient parenteral antimicrobial therapy (OPAT) program in July 2012 and expanded the program with the support of homecare services. This study reviews the OPAT program after 5.5 years of operation. learn more METHODS We prospectively collected data pertaining to the age, sex, diagnoses, causative organisms, types of OPAT, modes of administration, selected antibiotics, treatment durations, bed days saved, outcomes, readmissions, and estimated cost reductions of all patients who were treated in the OPAT program from July 2012 to December 2017. RESULTS Of the 66 patients treated under the OPAT program, 45 (68.2%) were treated using clinic OPAT and 21 (31.8%) were treated using homecare OPAT. The most commonly targeted organism was methicillin-susceptible Staphylococcus aureus. Continuous infusion with elastomeric pumps was employed in 55 patients (83.3%). Cefazolin was the most frequently used antibiotic (39.4%), followed by penicillin G (24.2%). The median OPAT duration was 13 days (range, 3-51), and the total bed days saved was 923. The estimated medical cost reduction was approximately 87,000 US dollars. CONCLUSIONS Our experience shows that OPAT is a safe and feasible practice not only for efficient bed utilization and medical cost savings but also for better antimicrobial stewardship. PURPOSE To investigate the epidemiological, clinical characteristics of COVID-19 patients with abnormal imaging findings. METHODS Patients confirmed with SARS-CoV-2 infection of Zhejiang province from Jan 17 to Feb 8 underwent CT or x-ray were enrolled. Epidemiological, clinical data were analyzed between those with abnormal or normal imaging findings. RESULTS Excluding 72 patients with normal images, 230 of 573 patients affected more than two lobes. The median radiograph score was 2.0 and there's negative correlation between the score and oxygenation index (ρ=-0.657,P less then 0.001). Patients with abnormal images were older (46.65 ± 13.82), with higher rate of coexisting condition(28.8%), lower rate of exposure history and longer time between onset and confirmation(5d) than non-pneumonia patients(all P less then 0.05). Higher rate of fever, cough, expectoration, and headache, lower lymphocytes, albumin, serum sodium levels and higher total bilirubin, creatine kinase, lactate dehydrogenase and C-reactive protein levels and lower oxygenation index were observed in pneumonia patients (all P less then 0.05). Muscle ache, shortness of breath, nausea and vomiting, lower lymphocytes levels and higher serum creatinine and radiograph score at admission were predictive factors for severe/critical subtype. CONCLUSION Patients with abnormal images have more obvious clinical manifestations and laboratory changes. Combing clinical features and radiograph score can effectively predict severe/critical type. OBJECTIVES Hoping to improve health-related effectiveness, a two-phase vaccination against rabies was designed and executed in northern Tanzania, in 2018, which included geo-epidemiological and economic perspectives. METHODS Considering the local bio-geography and attempting to rapidly establish a protective ring around a city at risk, the first phase intervened on sites surrounding that city, where the population density was lower than in the city at risk. The second phase vaccinated a rural area. RESULTS No rabies-related case has been reported in the vaccinated areas for over a year post-immunization, hence the campaign is viewed as highly cost-effective. Other metrics included rapid implementation (concluded in half the time spent in other campaigns) and the estimated cost per protected life, which was 3.28 times lower than in similar vaccinations. CONCLUSIONS The adopted design emphasized local bio-geographical dynamics it prevented the occurrence of an epidemic in a city with a higher demographic density than its surrounding area and it also achieved greater effectiveness than average interventions. These interdisciplinary, policy-oriented experiences have broad and immediate applications in settings of limited and/or time-sensitive (expertise, personnel, and time available to intervene) resources and conditions.
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