search.noResults

search.searching

note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
predicting recurrent c.diff infection with emr data 1203


14. Kollef MH, Chen Y, Heard K, et al. A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team. J Hosp Med 2014;9:424–429.


15. Escobar GJ, Dellinger RP. Early detection, prevention, and miti- gation of critical illness outside intensive care settings. J Hosp Med 2016;11:S5–S10.


16. Escobar GJ, Turk BJ, Ragins A, et al. Piloting electronic medical record-based early detection of inpatient deterioration in com- munity hospitals. J Hosp Med 2016;11:S18–S24.


17. Watt M, Dinh A, Le Monnier A, Tilleul P. Cost-effectiveness analysis on the use of fidaxomicin and vancomycin to treat Clostridium difficile infection in France. J Med Econ 2017;20: 678–686.


18. Nelson RL, Suda KJ, Evans CT. Antibiotic treatment for Clostridium difficile–associated diarrhoea in adults. Cochrane Database Syst Rev 2017;3:CD004610.


19. Wilcox MH, Gerding DN, Poxton IR, et al. Bezlotoxumab for prevention of recurrent Clostridium difficile infection. N Eng. J Med 2017;376:305–317.


20. Escobar GJ, Greene JD, Gardner MN, Marelich GP, Quick B, Kipnis P. Intra-hospital transfers to a higher level of care: con- tribution to total hospital and intensive care unit (ICU) mortality and length of stay (LOS). J Hosp Med 2011;6:74–80.


21. Liu V, Kipnis P, Rizk NW, Escobar GJ. Adverse outcomes asso- ciated with delayed intensive care unit transfers in an integrated healthcare system. J Hosp Med 2012;7:224–230.


22. Escobar GJ, Gardner MN, Greene JD, Draper D, Kipnis P. Risk- adjusting hospital mortality using a comprehensive electronic record in an integrated health care delivery system. Med Care 2013;51:446–453.


23. Selby JV. Linking automated databases for research in managed care settings. Ann Intern Med 1997;127:719–724.


24. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 1992;45:613–619.


25. Zilberberg MD, Reske K, Olsen M, Yan Y, Dubberke ER. Devel- opment and validation of a recurrent Clostridium difficile risk-prediction model. J Hosp Med 2014;9:418–423.


26. Dubberke ER, Reske KA, Yan Y, Olsen MA, McDonald LC, Fraser VJ. Clostridium difficile–associated disease in a setting of


endemicity: identification of novel risk factors. Clin Infect Dis 2007;45: 1543–1549.


27. Dubberke ER, Yan Y, Reske KA, et al. Development and valida- tion of a Clostridium difficile infection risk prediction model. Infect Control Hosp Epidemiol 2011;32:360–366.


28. Hastie T, Tibshirani R, Friedman JH. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed. New York: Springer Verlag; 2009.


29. Allison PD. Logistic Regression Using SAS: Theory and Application. 2nd ed. Cary, NC: SAS Institute; 2012.


30. Hastie T, Tibshirani R, Friedman J, Franklin J. The elements of statistical learning: data mining, inference and prediction. Mathemat Intelligenc 2005;27:83–85.


31. Hosmer DW, Lemeshow S. Applied Survival Analysis: Regression Modelling of Time to Event Data. Hoboken, NJ: Wiley; 2008.


32. Cook DA, Duke G, Hart GK, Pilcher D, Mullany D. Review of the application of risk-adjusted charts to analyse mortality outcomes in critical care. Crit Care Resusc 2008;10:239–251.


33. Crowson CS, Atkinson EJ, Therneau TM. Assessing calibration of prognostic risk scores. Stat Method Med Res 2014;25:1692–1706.


34. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation 2007;115:928–935.


35. Pencina MJ, D’Agostino RB Sr, D’Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157–172; discussion 207–212.


36. Estrella A, Mishkin FS. Predicting US recessions: financial vari- ables as leading indicators. Rev Econ Statist 1998;80:45–61.


37. McDonald EG, Milligan J, Frenette C, Lee TC. Continuous proton pump inhibitor therapy and the associated risk of recurrent Clostridium difficile Infection. JAMA Intern Med 2015;175:784–791.


38. Deshpande A, Pasupuleti V, Thota P, et al. Risk factors for recurrent Clostridium difficile infection: a systematic review and meta-analysis. Infect Control Hosp Epidemiol 2015;36:452–460.


39. Kuntz JL, Johnson ES, Raebel MA, et al. Predicting the risk of Clostridium difficile infection following an outpatient visit: development and external validation of a pragmatic, prognostic risk score. Clin Microbiol Infect 2015;21:256–262.


40. Kuntz JL, Smith DH, Petrik AF, et al. Predicting the risk of Clos- tridiumdifficile infection upon admission: a score to identify patients for antimicrobial stewardship efforts. Perm J 2016;20:20–25.


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144