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21.
Clinical pulmonary infection score for ventilator-associated pneumonia: accuracy and inter-observer variability 总被引:5,自引:0,他引:5
Schurink CA Van Nieuwenhoven CA Jacobs JA Rozenberg-Arska M Joore HC Buskens E Hoepelman AI Bonten MJ 《Intensive care medicine》2004,30(2):217-224
Objective Although quantitative microbiological cultures of samples obtained by bronchoscopy are considered the most specific tool for diagnosing ventilator-associated pneumonia, this labor-intensive invasive technique is not widely used. The Clinical Pulmonary Infection Score (CPIS), a diagnostic algorithm that relies on easily available clinical, radiographic, and microbiological criteria, could be an attractive alternative for diagnosing ventilator-associated pneumonia. Initially, the CPIS scoring system was validated upon 40 quantitative cultures of bronchoalveolar lavage fluid from 28 patients, and only few other studies have evaluated this scoring system since then. Therefore, little is known about the accuracy of this score.Design We compared the scores of a slightly adjusted CPIS with results from quantitative cultures of bronchoalveolar lavage fluid in 99 consecutive patients with suspicion of ventilator-associated pneumonia, using growth of 104 cfu/ml in bronchoalveolar lavage fluid as a cut-off for diagnosing ventilator-associated pneumonia. In addition, the CPIS were calculated for 52 patients by two different intensivists to determine the inter-observer variability.Results Ventilator-associated pneumonia was diagnosed in 69 (69.6%) patients. When using a CPIS >5 as diagnostic cutoff, the sensitivity of the score was 83% and its specificity was 17%. The area under the Receiver Operating Characteristic curve was 0.55. The level of agreement for prospectively measured Clinical Pulmonary Infection Score (6 and >6) was poor (kappa =0.16).Conclusions When compared to quantitative cultures of bronchoalveolar lavage fluid, the CPIS has a low sensitivity and specificity for diagnosing ventilator-associated pneumonia with considerable inter-observer variability. 相似文献
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23.
Brent K. Hollenbeck Samuel R. Kaufman Phyllis Yan Lindsey A. Herrel Tudor Borza Florian R. Schroeck Bruce L. Jacobs Ted A. Skolarus Vahakn B. Shahinian 《European urology》2018,73(4):491-498
Background
Prostate cancer treatment is a significant source of morbidity and spending. Some men with prostate cancer, particularly those with significant health problems, are unlikely to benefit from treatment.Objective
To assess relationships between financial incentives associated with urologist ownership of radiation facilities and treatment for prostate cancer.Design, setting, and participants
A retrospective cohort of Medicare beneficiaries with prostate cancer diagnosed between 2010 and 2012. Patients were further classified by their risk of dying from noncancer causes in the 10 yr following their cancer diagnosis by using a mortality model derived from comparable patients known to be cancer-free.Intervention
Urologists were categorized by their practice affiliation (single-specialty groups by size, multispecialty group) and ownership of a radiation facility.Outcome measurements and analysis
Use of intensity-modulated radiation therapy (IMRT) and use of any treatment within 1 yr of diagnosis. Generalized estimating equations were used to adjust for patient differences.Results
Among men with newly diagnosed prostate cancer, use of IMRT ranged from 24% in multispecialty groups to 37% in large urology groups (p < 0.001). Patients managed in groups with IMRT ownership (n = 5133) were more likely to receive IMRT than those managed by single-specialty groups without ownership (43% vs 30%, p < 0.001), regardless of group size. Among patients with a very high risk (> 75%) of noncancer mortality within 10 yr of diagnosis, both IMRT use (42% vs 26%, p < 0.001) and overall treatment (53% vs 44%, p < 0.001) were more likely in groups with ownership than in those without, respectively.Conclusions
Urologists practicing in single-specialty groups with an ownership interest in radiation therapy are more likely to treat men with prostate cancer, including those with a high risk of noncancer mortality.Patient summary
We assessed treatment for prostate cancer among urologists with varying levels of financial incentives favoring intervention. Those with stronger incentives, as determined by ownership interest in a radiation facility, were more likely to treat prostate cancer, even when treatment was unlikely to provide a survival benefit to the patient. 相似文献24.
L.?BollenEmail author W.?C.?H.?Jacobs Y.?M.?Van der?Linden O.?Van der?Hel W.?Taal P.?D.?S.?Dijkstra 《European spine journal》2018,27(4):799-805
Purpose
For the selection of treatment in patients with spinal bone metastases (SBM), survival estimation plays a crucial role to avoid over- and under-treatment. To aid clinicians in this difficult task, several prediction models have been developed, consisting of many different risk factors. The aim of this systematic review was to identify prognostic factors that are associated with survival in patients with SBM to support development of predictive models.Methods
A systematic review was performed with focus on prognostic factors associated with survival in patients with SBM. Two reviewers independently selected studies for inclusion and assessed the risk of bias. A level of evidence synthesis was performed for each prognostic factor. Inter-observer agreement for the risk of bias assessment was determined by the kappa-statistic.Results
After screening, 142 full-text articles were obtained, of which 22 met the eligibility criteria. A total of 43 different prognostic factors were investigated in the included studies, of which 17 were relevant to pre-treatment survival estimation. The prognostic factors most frequently associated with survival were the primary tumor and the performance status. The prognostic factors most frequently not associated with survival were age, gender, number and location of the SBM and the presence of a pathologic fracture.Conclusions
Prognostication for patients with SBM should be based on an accurate primary tumor classification, combined with a performance score. The benefit of adding other prognostic factors is doubtful.25.
Jingzhong Ding Lindsay M. Reynolds Tanja Zeller Christian Müller Kurt Lohman Barbara J. Nicklas Stephen B. Kritchevsky Zhiqing Huang Alberto de la Fuente Nicola Soranzo Robert E. Settlage Chia-Chi Chuang Timothy Howard Ning Xu Mark O. Goodarzi Y.-D. Ida Chen Jerome I. Rotter David S. Siscovick John S. Parks Susan Murphy David R. Jacobs Jr. Wendy Post Russell P. Tracy Philipp S. Wild Stefan Blankenberg Ina Hoeschele David Herrington Charles E. McCall Yongmei Liu 《Diabetes》2015,64(10):3464-3474
26.
27.
Bruce L. Jacobs MD MPH Devin Rogers BS Jonathan G. Yabes PhD Jathin Bandari MD Omar M. Ayyash MD MPH Avinash Maganty MD Kody M. Armann BS Hermoon A. Worku BS Natalie M. Pace BS Anup Shah MD Kelly R. Pekala MD MS Michelle Yu MD Jacques E. Chelly MD PhD MBA Liam C. Macleod MD MPH Benjamin J. Davies MD 《Cancer》2021,127(2):257-265
28.
Ruttens Dries Messiaen Julie Ferster Alina Piette Caroline Schifflers Stefan Van Damme An van der Werff ten Bosch Jutte Verlooy Joris Willems Leen Jacobs Sandra 《Journal of neuro-oncology》2021,153(2):293-301
Journal of Neuro-Oncology - Diffuse intrinsic pontine glioma is a rare disease with a high mortality. Our primary aim was to determine the incidence of this disease in Belgium. Secondly, we wanted... 相似文献
29.
Bei Hu MD Danielle Boselli MS Lisa M. Pye BSN Tommy Chen BS Rupali Bose MS MBA James T. Symanowski PhD Kris Blackley MSN Tamara K. Moyo MD PhD Ryan Jacobs MD Steven I. Park MD Amy Soni MD Belinda R. Avalos MD Edward A. Copelan MD Derek Raghavan MD PhD Nilanjan Ghosh MD PhD 《Cancer》2021,127(21):3991-3997
30.