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51.
52.
Samir Gupta MD MSCS Gloria D. Coronado PhD Keith Argenbright MD Alison T. Brenner PhD MPH Sheila F. Castañeda PhD Jason A. Dominitz MD MHS Beverly Green MD MPH Rachel B. Issaka MD MAS Theodore R. Levin MD Daniel S. Reuland MD MPH Lisa C. Richardson MD MPH Douglas J. Robertson MD MPH Amit G. Singal MD MS Michael Pignone MD MPH 《CA: a cancer journal for clinicians》2020,70(4):283-298
Uptake of colorectal cancer screening remains suboptimal. Mailed fecal immunochemical testing (FIT) offers promise for increasing screening rates, but optimal strategies for implementation have not been well synthesized. In June 2019, the Centers for Disease Control and Prevention convened a meeting of subject matter experts and stakeholders to answer key questions regarding mailed FIT implementation in the United States. Points of agreement included: 1) primers, such as texts, telephone calls, and printed mailings before mailed FIT, appear to contribute to effectiveness; 2) invitation letters should be brief and easy to read, and the signatory should be tailored based on setting; 3) instructions for FIT completion should be simple and address challenges that may lead to failed laboratory processing, such as notation of collection date; 4) reminders delivered to initial noncompleters should be used to increase the FIT return rate; 5) data infrastructure should identify eligible patients and track each step in the outreach process, from primer delivery through abnormal FIT follow-up; 6) protocols and procedures such as navigation should be in place to promote colonoscopy after abnormal FIT; 7) a high-quality, 1-sample FIT should be used; 8) sustainability requires a program champion and organizational support for the work, including sufficient funding and external policies (such as quality reporting requirements) to drive commitment to program investment; and 9) the cost effectiveness of mailed FIT has been established. Participants concluded that mailed FIT is an effective and efficient strategy with great potential for increasing colorectal cancer screening in diverse health care settings if more widely implemented. 相似文献
53.
54.
Allison F. O’Neill MD Caihong Xia PhD Mark D. Krailo PhD Furqan Shaikh MD MSc Farzana D. Pashankar MD MRCP Deborah F. Billmire MD Thomas A. Olson MD Jim F. Amatruda MD PhD Doojduen Villaluna MS Li Huang MS Marcio Malogolowkin MD Carlos Rodriguez-Galindo MD A. Lindsay Frazier MD 《Cancer》2019,125(20):3649-3656
55.
Anne‐Grete Mrtson Anette Veringa Edwin R. van den Heuvel Martijn Bakker Daan J. Touw Tjip S. van der Werf Lambert F. R. Span Jan‐Willem C. Alffenaar 《Mycoses》2019,62(8):698-705
Posaconazole is indicated for prophylaxis and treatment of invasive aspergillosis. Therapeutic drug monitoring (TDM) of posaconazole is used to optimise drug exposure. The aim of this study was to analyse and describe the TDM practices and exposure of posaconazole tablets. Patients who received posaconazole for treatment or prophylaxis of fungal infections were included in the study. The following therapeutic window was defined: if concentration was low (<0.7 mg/L for prophylaxis or < 1.5 mg/L for treatment) or high (>3.75 mg/L), the hospital pharmacist provided the physician with dosage advice, which implementation to patient care was analysed. A longitudinal analysis was performed to analyse if different confounding variables had an effect on posaconazole concentrations. Forty‐seven patients were enrolled resulting in 217 posaconazole trough concentrations. A median of 3 (IQR 1‐7) samples was measured per patient. The median concentration was 1.7 mg/L (IQR 0.8‐2.7) for prophylaxis and 1.76 mg/L (IQR 1.3‐2.3) for treatment. Overall, 78 posaconazole concentrations were out of the therapeutic window. For 45 (54%) of these concentrations, a dosage change was recommended. In the longitudinal analysis, the laboratory markers and patient baseline variables did not have an effect on posaconazole concentrations. Adequate posaconazole exposure was shown in 64% (affected 28 patients) of the measured concentrations. TDM practice of posaconazole can be improved by increasing the implementation rate of dose recommendation by a multidisciplinary antifungal stewardship team. 相似文献
56.
best practice onkologie - 相似文献
57.
Marco Bandini Sebastiano Nazzani Michele Marchioni Felix Preisser Zhe Tian Marco Moschini Firas Abdollah Nazareno Suardi Markus Graefen Francesco Montorsi Shahrokh F. Shariat Fred Saad Alberto Briganti Pierre I. Karakiewicz 《Clinical genitourinary cancer》2019,17(1):72-78.e4
Background
The rate of noninterventional treatment (NIT) in prostate cancer (PCa) active surveillance (AS) candidates is on the rise. However, contemporary data are unavailable. We described community-based NIT rates within 16 Surveillance Epidemiology and End Results (SEER) registries between 2010 and 2014.Patients and Methods
We identified 23,360 PCa patients who fulfilled the University of California San Francisco AS criteria (prostate-specific antigen [PSA] < 10 ng/mL, clinical T stage ≤ T2a, Gleason score ≤ 6, and positive cores < 33%). Annual NIT rates as well as patient distribution according to PSA, age, number of positive cores, and clinical T stage were studied. Multivariable logistic regression analysis tested NIT predictors.Results
Between 2010 and 2014, the NIT rate increased from 30.2% to 57.5% (P = .004). Within 16 SEER registries, NIT rates ranged from 25.9% to 62%. NIT rate increased uniformly within all examined registries. Of patient and tumor characteristics (PSA > 4 ng/mL, cT2a and > 1 positive core) only the proportion of NIT patients aged < 65 years increased over time from 47.3% to 53.2% (P = .03). By multivariable logistic regression analysis predicting NIT rate, older age (odd ratio [OR] = 1.05), more contemporary year of diagnosis (OR = 1.41), and being unmarried (OR = 1.45) and uninsured (OR = 2.41) were independent predictors.Conclusion
The NIT rate has markedly increased across all examined SEER registries. Nonetheless, important differences distinguish those who received high-end NIT from low-end NIT. PCa characteristics of NIT patients remained unchanged over time. However, in addition to geographical differences in NIT rates, patient characteristics such as age, marital status, and insurance status represent potential NIT access barriers. 相似文献58.
de Morais Pollyana C. V. Gama Allyne F. Fernandes Gabrielle M. Oliveira Andre H. B. Lima Marcielly F. B. dos Santos Felipe R. Martins Davi A. Nascimento Ronaldo F. Cavalcante Rivelino M. 《Bulletin of environmental contamination and toxicology》2019,102(1):66-76
Bulletin of Environmental Contamination and Toxicology - This work describes the development of an analytical protocol combining cleanup by liquid–solid extraction and GC–MS for the... 相似文献
59.
Miriam L. Haaksma Debora Rizzuto Inez H.G.B. Ramakers Sara Garcia-Ptacek Alessandra Marengoni Wiesje M. van der Flier Frans R.J. Verhey Marcel G.M. Olde Rikkert René J.F. Melis 《Journal of the American Medical Directors Association》2019,20(2):165-170.e2
Objectives
The predictive value of frailty and comorbidity, in addition to more readily available information, is not widely studied. We determined the incremental predictive value of frailty and comorbidity for mortality and institutionalization across both short and long prediction periods in persons with dementia.Design
Longitudinal clinical cohort study with a follow-up of institutionalization and mortality occurrence across 7 years after baseline.Setting and Participants
331 newly diagnosed dementia patients, originating from 3 Alzheimer centers (Amsterdam, Maastricht, and Nijmegen) in the Netherlands, contributed to the Clinical Course of Cognition and Comorbidity (4C) Study.Measures
We measured comorbidity burden using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) and constructed a Frailty Index (FI) based on 35 items. Time-to-death and time-to-institutionalization from dementia diagnosis onward were verified through linkage to the Dutch population registry.Results
After 7 years, 131 patients were institutionalized and 160 patients had died. Compared with a previously developed prediction model for survival in dementia, our Cox regression model showed a significant improvement in model concordance (U) after the addition of baseline CIRS-G or FI when examining mortality across 3 years (FI: U = 0.178, P = .005, CIRS-G: U = 0.180, P = .012), but not for mortality across 6 years (FI: U = 0.068, P = .176, CIRS-G: U = 0.084, P = .119). In a competing risk regression model for time-to-institutionalization, baseline CIRS-G and FI did not improve the prediction across any of the periods.Conclusions
Characteristics such as frailty and comorbidity change over time and therefore their predictive value is likely maximized in the short term. These results call for a shift in our approach to prognostic modeling for chronic diseases, focusing on yearly predictions rather than a single prediction across multiple years. Our findings underline the importance of considering possible fluctuations in predictors over time by performing regular longitudinal assessments in future studies as well as in clinical practice. 相似文献60.
Sandrine F. Chebekoue 《Journal of occupational and environmental hygiene》2019,16(4):308-319
This study aimed at deriving occupational thresholds of toxicological concern for inhalation exposure to systemically-acting organic chemicals using predicted internal doses. The latter were also used to evaluate the quantitative relationship between occupational exposure limit and internal dose. Three internal dose measures were identified for investigation: (i) the daily area under the venous blood concentration vs. time curve, (ii) the daily rate of the amount of parent chemical metabolized, and (iii) the maximum venous blood concentration at the end of an 8-hr work shift. A dataset of 276 organic chemicals with 8-hr threshold limit values-time-weighted average was compiled along with their molecular structure and Cramer classes (Class I: low toxicity, Class II: intermediate toxicity, Class III: suggestive of significant toxicity). Using a human physiologically-based pharmacokinetic model, the three identified dose metrics were predicted for an 8-hr occupational inhalation exposure to the threshold limit value for each chemical. Distributional analyses of the predicted dose metrics were performed to identify the percentile values corresponding to the occupational thresholds of toxicological concern. Also, simple linear regression analyses were performed to evaluate the relationship between the 8-hr threshold limit value and each of the predicted dose metrics, respectively. No threshold of toxicological concern could be derived for class II due to few chemicals. Based on the daily rate of the amount of parent chemical metabolized, the proposed internal dose-based occupational thresholds of toxicological concern were 5.61?×?10?2 and 9?×?10?4 mmol/d at the 10th percentile level for classes I and III, respectively, while they were 4.55?×?10?1 and 8.5?×?10?3 mmol/d at the 25th percentile level. Even though high and significant correlations were observed between the 8-hr threshold limit values and the predicted dose metrics, the one with the rate of the amount of chemical metabolized was remarkable regardless of the Cramer class (r2 = 0.81; n = 276). The proposed internal dose-based occupational thresholds of toxicological concern are potentially useful for screening-level assessments as well as prioritization within an integrated occupational risk assessment framework. 相似文献