Analysis of Clostridium difficile infections after cardiac surgery: Epidemiologic and economic implications from national data

被引:21
作者
Flagg, Andrew [1 ]
Koch, Colleen G. [2 ]
Schiltz, Nicholas [3 ]
Pillai, Aiswarya Chandran [3 ]
Gordon, Steven M. [4 ]
Pettersson, Goesta B. [5 ]
Soltesz, Edward G. [5 ]
机构
[1] Case Western Reserve Univ, Dept Biol, Cleveland, OH 44106 USA
[2] Cleveland Clin, Dept Cardiothorac Anesthesia, Cleveland, OH 44195 USA
[3] Case Western Reserve Univ, Sch Med, Dept Epidemiol & Biostat, Cleveland, OH 44106 USA
[4] Cleveland Clin, Inst Med, Dept Infect Dis, Cleveland, OH 44195 USA
[5] Cleveland Clin, Inst Heart & Vasc, Dept Thorac & Cardiovasc Surg, Cleveland, OH 44195 USA
关键词
PROPENSITY SCORE; TRANSPLANT RECIPIENTS; RISK-FACTORS; ICD-9-CM; SURVEILLANCE; INPATIENT; SEVERITY; OUTCOMES; IMPACT;
D O I
10.1016/j.jtcvs.2014.04.017
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives: Clostridium difficile infections (CDIs) have increased during the past 2 decades, especially among cardiac surgical patients, who share many of the comorbidity risk factors for CDI. Our objectives were to use a large national database to identify the regional-, hospital-, patient-, and procedure-level risk factors for CDI; and determine mortality, resource usage, and cost of CDIs in cardiac surgery. Methods: Using the Nationwide Inpatient Sample database, we identified 349,122 patients who had undergone coronary artery bypass, valve, or thoracic-aortic surgery from 2004 to 2008. Of these, 2581 (0.75%) had been diagnosed with CDI. Multivariable regression analysis and the propensity method were used for risk adjustment. Results: Compared with the West, CDIs were more likely to occur in the Northeast (odds ratio [OR], 1.28; 95% confidence interval [CI], 1.12-1.47) and Midwest (OR, 1.27, 95% CI, 1.11-1.46) and less likely in the South (OR, 0.80; 95% CI, 0.70-0.90). Medium-size hospitals (OR, 0.88; 95% CI, 0.78-0.99) had a lower risk of CDI than did large hospitals. Older age (>75 years; OR, 2.59; 95% CI, 1.93-3.49), longer preoperative length of stay (OR, 1.51; 95% CI, 1.43-1.60), Medicare (OR, 1.21; 95% CI, 1.05-1.39) and Medicaid (OR, 1.60; 95% CI, 1.31-1.96) coverage, and more comorbidities were associated with CDI. Among the matched pairs, patients with CDIs had greater mortality (302 [12%] vs 187 [7.2%], P < .001), a longer median length of stay (21 vs 11 days, P < .001), and greater median hospital charges ($193,330 vs $112,245, P < .001). The cumulative incremental cost of CDIs was an estimated $212 million annually. Conclusions: Our results have shown that CDI is associated with increased morbidity and resource usage. Additional work is needed to better understand the complex interplay among regional-, hospital-, and patient-level factors.
引用
收藏
页码:2404 / 2409
页数:6
相关论文
共 21 条
[1]   Clostridium difficile infection in hospitalized liver transplant patients: A nationwide analysis [J].
Ali, Muhammad ;
Ananthakrishnan, Ashwin N. ;
Ahmad, Shahryar ;
Kumar, Nilay ;
Kumar, Gagan ;
Saeian, Kia .
LIVER TRANSPLANTATION, 2012, 18 (08) :972-978
[2]   A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study [J].
Austin, Peter C. ;
Grootendorst, Paul ;
Anderson, Geoffrey M. .
STATISTICS IN MEDICINE, 2007, 26 (04) :734-753
[3]   Clostridium difficile in cardiac surgery: Risk factors and impact on postoperative outcome [J].
Crabtree, Traves ;
Aitchison, Doug ;
Meyers, Bryan F. ;
Tymkew, Heidi ;
Smith, Jennifer R. ;
Guthrie, Tracey J. ;
Munfakh, Nabil ;
Moon, Marc R. ;
Pasque, Michael K. ;
Lawton, Jennifer ;
Moazami, Nader ;
Damiano, Ralph J., Jr. .
ANNALS OF THORACIC SURGERY, 2007, 83 (04) :1396-1402
[4]   ADAPTING A CLINICAL COMORBIDITY INDEX FOR USE WITH ICD-9-CM ADMINISTRATIVE DATABASES [J].
DEYO, RA ;
CHERKIN, DC ;
CIOL, MA .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1992, 45 (06) :613-619
[5]   The Impact of ICD-9-CM Code Rank Order on the Estimated Prevalence of Clostridium difficile Infections [J].
Dubberke, Erik R. ;
Butler, Anne M. ;
Nyazee, Humaa A. ;
Reske, Kimberly A. ;
Yokoe, Deborah S. ;
Mayer, Jeanmarie ;
Mangino, Julie E. ;
Khan, Yosef M. ;
Fraser, Victoria J. .
CLINICAL INFECTIOUS DISEASES, 2011, 53 (01) :20-25
[6]   Multicenter Study of Surveillance for Hospital-Onset Clostridium difficile Infection by the Use of ICD-9-CM Diagnosis Codes [J].
Dubberke, Erik R. ;
Butler, Anne M. ;
Yokoe, Deborah S. ;
Mayer, Jeanmarie ;
Hota, Bala ;
Mangino, Julie E. ;
Khan, Yosef M. ;
Popovich, Kyle J. ;
Stevenson, Kurt B. ;
McDonald, L. Clifford ;
Olsen, Margaret A. ;
Fraser, Victoria J. .
INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2010, 31 (03) :262-268
[7]  
GERDING DN, 1995, INFECT CONT HOSP EP, V16, P459
[8]   Accuracy of Administrative Code Data for the Surveillance of Healthcare-Associated Infections: A Systematic Review and Meta-Analysis [J].
Goto, Michihiko ;
Ohl, Michael E. ;
Schweizer, Marin L. ;
Perencevich, Eli N. .
CLINICAL INFECTIOUS DISEASES, 2014, 58 (05) :688-696
[9]  
Healthcare Cost and Utilization Project (HCUP), HCUP ClinicalClassifications Software Refined (CCSR) for ICD-10-CMdiagnoses,v2021.2
[10]   Clostridium difficile-associated infection: a disease of varying severity [J].
Jawa, Randeep S. ;
Mercer, David W. .
AMERICAN JOURNAL OF SURGERY, 2012, 204 (06) :836-842