Abstract
Study Design Retrospective database analysis.
Objective The purpose of this study is to investigate incidence, comorbidities, and impact on health care resources of Clostridium difficile infection after cervical spine surgery.
Methods A total of 1,602,130 cervical spine surgeries from the Nationwide Inpatient Sample database from 2002 to 2011 were included. Patients were included for study based on International Classification of Diseases Ninth Revision, Clinical Modification procedural codes for cervical spine surgery for degenerative spine diagnoses. Baseline patient characteristics were determined. Multivariable analyses assessed factors associated with increased incidence of C. difficile and risk of mortality.
Results Incidence of C. difficile infection in postoperative cervical spine surgery hospitalizations is 0.08%, significantly increased since 2002 (p < 0.0001). The odds of postoperative C. difficile infection were significantly increased in patients with comorbidities such as congestive heart failure, renal failure, and perivascular disease. Circumferential cervical fusion (odds ratio [OR] = 2.93, p < 0.0001) increased the likelihood of developing C. difficile infection after degenerative cervical spine surgery. C. difficile infection after cervical spine surgery results in extended length of stay (p < 0.0001) and increased hospital costs (p < 0.0001). Mortality rate in patients who develop C. difficile after cervical spine surgery is nearly 8% versus 0.19% otherwise (p < 0.0001). Moreover, multivariate analysis revealed C. difficile to be a significant predictor of inpatient mortality (OR = 3.99, p < 0.0001).
Conclusions C. difficile increases the risk of in-hospital mortality and costs approximately $6,830,695 per year to manage in patients undergoing elective cervical spine surgery. Patients with comorbidities such as renal failure or congestive heart failure have increased probability of developing infection after surgery. Accepted antibiotic guidelines in this population must be followed to decrease the risk of developing postoperative C. difficile colitis.
Keywords: cervical spine surgery, clostridium difficile, infection, outcomes, cost, mortality, database analysis
Introduction
Hospital-acquired Clostridium difficile infection, resulting in pseudomembranous colitis, is the most important cause of health care–associated diarrhea.1 2 Recent studies have shown that the incidence of C. difficile infection is rising, and it is becoming ever more challenging to treat because of emerging antibiotic-resistant strains.3 4 5 The pathophysiology of C. difficile infection is associated with alterations in the gut microflora, which can be triggered by antibiotic administration.6 7 Infection is characterized by constitutional symptoms, diarrhea and abdominal pain, and may lead to serious life-threatening complications such as toxic megacolon.8 Importantly, C. difficile is a highly contagious pathogen that can spread through a hospital especially in the setting of improper hand-washing practices and contact-precaution protocols.9 Consequently, proper perioperative administration of antibiotics, especially in high-risk patients, should be practiced to avoid this morbid and potentially fatal complication.
Postoperative C. difficile infection has been reported to increase length of stay (LOS), mortality, and costs.5 Maltenfort et al demonstrated that C. difficile infection after total knee arthroplasty increased LOS stay by a week, hospital charges by nearly U.S. $40,000, and in-hospital mortality from 0.24 to 4.66%.10 Similarly, Skovrlj et al previously described a 36.4-fold increase in mortality in patients with C. difficile after lumbar spine surgery.11 Although an uncommon infection, it is clear that it has a significant impact.
Two key studies identified risk factors of C. difficile after orthopedic surgery. Campbell et al identified surgery > 24 hours after admission, perioperative antibiotics, and proton pump inhibitors as risk factors for infection.12 Jenkins et al, in a similar study assessing C. difficile risk factors after total joint arthroplasty, identified additional postoperative antibiotic use as a significant factor for acquiring infection.13 However, these studies are limited by their relatively small sample size. Although there are studies examining C. difficile after lumbar spine surgery, there are currently no studies investigating the burden of C. difficile infection after cervical spine surgery. This study aims to identify incidence, prevalence, risk factors, and outcomes of C. difficile infection in a large sample of patients who underwent cervical spine surgery for degenerative causes.
Material and Methods
The Nationwide Inpatient Sample (NIS) database, under the auspices of the Healthcare Cost and Utilization Project (HCUP), was queried from 2002 to 2011.14 The HCUP is a series of databases and related software tools developed through a federal–state–industry partnership, and it is the United States' most comprehensive source of hospital data. One of the more robust databases of the HCUP, the NIS contains a 20% stratified sample numbering an estimated 1,000 hospitals throughout the United States, including ∼7 to 8 million hospital stays each year. Sample weights are created for each hospitalization based on the stratum the hospital belongs to (assigned by the American Hospital Association) by amassing the aggregate number of discharges in that stratum and dividing it by the total number of NIS discharges in that stratum.15 Appropriately applying these sample weights gives ∼40 million hospitalizations each year representing 96% of all U.S. hospital discharges. The NIS contains information on (but not limited to) hospital charges, procedures, diagnoses, and general patient characteristics. Institutional review board approval was not available for this study as the NIS contains no direct patient identifiers and is compliant with the Health Insurance Portability and Accountability Act of 1996 privacy rules.
Sample Selection
Hospitalizations with C. difficile diagnosis were identified by International Classification of Diseases Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code 008.45. Hospitalizations were selected for the study based on ICD-9-CM procedural codes for cervical spine procedures and diagnoses codes for degenerative conditions of cervical spine. The following procedural codes were included: anterior cervical fusion (81.02), posterior cervical fusion (81.03), refusion of cervical spine anterior technique (81.32), refusion of cervical spine posterior technique (81.33), posterior cervical decompression without fusion (03.09). Only hospitalizations of patients undergoing procedures for degenerative conditions including cervical spondylosis with and without myelopathy (721.1, 721.0), intervertebral disk (IVD) displacement with and without myelopathy (722.71, 722.0), IVD degeneration (722.4), postlaminectomy syndrome (722.81), calcification of IVD (722.91), other disorders of the cervical spine region including spinal stenosis (723.0–5), and ossification of the posterior longitudinal ligament (723.7) were selected.
Surgical Groups
Cervical spine procedures were further grouped to explore the risk of general procedure approach in the development of C. difficile infection. Single-stage surgery indicates anterior cervical fusion, posterior cervical fusion, or posterior decompression without fusion. Circumferential fusion includes those patients with concurrent anterior and posterior fusion during the hospitalization. Primary fusion included any cases of anterior or posterior fusion that were not coded as revision surgery. By contrast, revision surgery only included anterior or posterior fusion revisions.
Outcomes
Patients were characterized as those with and without C. difficile diagnosis. We analyzed the prevalence of C. difficile infection by patient age, insurance type, gender, race and Elixhauser Comorbidity Index. The Elixhauser Index, similar to the Charlson Comorbidity Index, is a comorbidity risk adjustment model that aids in stratifying patients who are at higher risk for mortality.16 It includes updated diagnosis codes for comorbidities provided by the HCUP and adjusts for each single comorbidity's independent association with hospital death. It was chosen for its significant association with risk of mortality, especially beyond 30 days, as well as burden of disease.17 18 19 Moreover, charges were adjusted for inflation using the United States Bureau of Labor statistics yearly inflation calculator and are presented in 2011 U.S. dollars; charges were transformed into cost with the HCUP cost-to-charge ratio tool.20 21 The cost-to-charge tool allows us to assess not just what hospitals billed for services, but how much hospital services actually cost or specific amounts hospitals received in payment.
Data Analysis
The statistical analysis was performed using SAS version 9.3 (SAS Institute, Cary, North Carolina, United States). Chi-square test was used for analysis of categorical variables, and Student t test was used for continuous variables. The statistical significance of the time trend in the rate of hospitalizations with C. difficile infection was determined using the Cochran-Armitage trend test. We took into account clinically relevant variables such as previously published literature on this topic and multicollinearity and multivariable logistic regression for C. difficile diagnosis, and we controlled for relevant procedure types (circumferential fusion versus single stage surgery), age > 65 years, sex, comorbidities (see Appendix 1 for all included), hospital type (teaching versus nonteaching), location (urban versus rural), region (Northeast as reference), insurance type (uninsured versus insured), and common postoperative infections.10 11 The logistic regression model investigating risk factors associated with inpatient mortality after degenerative cervical spine surgery was also done. The statistical analysis took into account the stratified sampling design of the NIS database. Surveyfreq, surveymeans, and surveylogistic procedures were used for analysis. Discharge weights, NIS_stratum, and cluster (hospital identification) variables were included to correctly estimate variance and to produce national estimates. Statistical significance was maintained at p < 0.05.
Appendix 1. Factors included in multivariable analyses.
| Dependent variable | Risk factors included |
|---|---|
| Clostridium difficile | Age > 65 years, *insurance (insured versus uninsured), race (White as reference), hospital region (Northeast as reference), hospital teaching status (nonteaching reference), hospital location (urban versus rural), hospital bed size (large as reference), comorbidities (perivascular disease, chronic hypertension, paralysis, neurological complications, pulmonary circulatory disorders, chronic lung disease, diabetes without complications, diabetes with chronic complications, renal failure, acquired immune deficiency syndrome, rheumatoid arthritis/collagen vascular disease, coagulation, obesity, fluid/electrolyte disorders, drug abuse, depression, circumferential surgery (single stage surgery as reference), pneumonia, urinary tract infection, postoperative infection not otherwise specified). |
| Inpatient mortality | Diagnosis of Clostridium difficile, age > 65 years, insurance (insured versus uninsured), race (White as reference), hospital region (Northeast as reference), hospital teaching status (nonteaching reference), hospital location (urban versus rural), hospital bed size (large as reference), comorbidities (perivascular disease, chronic hypertension, paralysis, neurological complications, pulmonary circulatory disorders, chronic lung disease, diabetes without complications, diabetes with chronic complications, renal failure, acquired immune deficiency syndrome, rheumatoid arthritis/collagen vascular disease, coagulation, obesity, fluid/electrolyte disorders, drug abuse, depression, circumferential surgery (reference single stage surgery as reference). |
Insured patients (Private, Medicare, or Medicaid).
Results
A total of 1,602,130 cervical spine surgeries were performed for degenerative conditions from 2002 to 2011. From this total, 1,270 hospitalizations were identified to have a concurrent C. difficile diagnosis. The incidence of C. difficile has been significantly increasing in the period queried (Fig. 1). A total of 3,044 (0.19%) patients without C. difficile infection died in the hospital after cervical spine surgery. Although only 101 patients with C. difficile infection died, this number accounted for 7.9% of all patients who acquired C. difficile infection after cervical spine surgery (p < 0.0001).
Fig. 1.
Trend of Clostridium difficile infection by year in degenerative cervical spine population from 2002 to 2011.
Patients with C. difficile infection were more likely to be male (p < 0.0015) and more likely to be over the age of 65, with a mean age of 66.8 years versus 53.4 years in those without C. difficile (p < 0.0001; Table 1). Patients with C. difficile infection were also more likely to have undergone posterior cervical fusion and circumferential fusion when compared with those without postoperative C. difficile infection (Table 1).
Table 1. Demographic information of patients with and without Clostridium difficile infection after degenerative cervical spine surgery.
| Population | C. difficile (1,270) | No C. difficile (1,600,860) | p Value |
|---|---|---|---|
| Sex (%) | 0.002 | ||
| Male | 59.2 | 49.6 | |
| Female | 40.8 | 50.4 | |
| Mean age | 66.8 | 53.4 | <0.0001 |
| Age groups, y (%) | <0.0001 | ||
| 0–44 | 6.1 | 24.7 | |
| 45–65 | 34.3 | 55.7 | |
| > 65 | 59.6 | 19.6 | |
| Race (%) | <0.0001 | ||
| White | 60.9 | 62.4 | |
| Black | 11.2 | 7.2 | |
| Hispanic | 7.4 | 3.8 | |
| Asian or Pacific | 3.1 | 0.9 | |
| Native American | 0.4 | 0.3 | |
| Other | 2.3 | 1.7 | |
| Missing race | 14.7 | 23.6 | |
| Insurance (%) | <0.0001 | ||
| Medicare | 63.8 | 24.5 | |
| Medicaid | 11.5 | 8.6 | |
| Private | 19.9 | 55.5 | |
| Uninsured | 1.6 | 1.7 | |
| Other | 2.7 | 9.4 | |
| Elixhauser Comorbidity Index | 7.6 | 0.5 | <0.0001 |
| Hospital size (%) | 0.001 | ||
| Small | 5.5 | 11.6 | |
| Medium | 17.7 | 21.9 | |
| Large | 76.8 | 66.5 | |
| Hospital location (%) | 0.073 | ||
| Rural | 1.9 | 4.8 | |
| Urban | 98.1 | 95.2 | |
| Hospital teaching status (%) | 0.001 | ||
| Nonteaching | 34.7 | 46.6 | |
| Teaching | 65.3 | 53.4 | |
| Procedures (n, Rate %) | |||
| Anterior cervical fusion | 467 (36.8) | 1,225,346 (76.54) | <0.0001 |
| Posterior cervical fusion | 258 (20.3) | 88,766 (5.5) | <0.0001 |
| Fusion revision anterior approach | 20 (1.6) | 27,172 (1.7) | 0.919 |
| Fusion revision posterior approach | 19 (1.5) | 13,362 (0.8) | 0.235 |
| Circumferential fusion | 150 (11.8) | 28,534 (1.8) | <0.0001 |
| Posterior cervical decompression without fusion | 356 (28.0) | 217,680 (13.6) | <0.0001 |
| All cervical surgeries | 1,270 (0.08) | 1,600,860 | – |
| Mortality total cases, n (% population) | 101 (7.9%) | 3,044 (0.19%) | <0.0001 |
| Common postoperative complications | |||
| Pneumonia | 137 (10.8%) | 2,342 (0.15%) | <0.0001 |
| Urinary tract infection | 355 (27.96%) | 22,197 (1.38%) | <0.0001 |
| Postoperative infection, not otherwise specified | 58(4.6%) | 2,252 (0.14%) | <0.0001 |
In multivariable logistic regression modeling for postoperative C. difficile infection, age > 65 was identified to be a significant risk factor for acquiring infection (odds ratio [OR] = 2.63, 95% confidence interval [CI] = 1.86 to 3.73, p < 0.0001). Congestive heart failure, peripheral vascular disease, paralysis, chronic lung disease, renal failure, coagulation, and fluid/electrolyte disorders were all significant predictors of postoperative C. difficile infection (Table 2). A diagnosis of pneumonia, postoperative infection not otherwise specified, and urinary tract infections were also significantly associated postoperative C. difficile colitis. Circumferential fusion when referenced to single-stage surgery also increased the odds of postoperative infection (OR = 2.93, 95% CI = 1.75 to 4.90, p < 0.0001).
Table 2. Independent risk factors increasing the odds of Clostridium difficile after cervical spine surgery.
| Risk factor | Odds ratio | Low 95% CI | High 95% CI | p Value |
|---|---|---|---|---|
| Age > 65 y | 2.63 | 1.86 | 3.73 | <0.0001 |
| Hispanic | 1.52 | 0.93 | 2.49 | <0.0001 |
| Asian | 2.00 | 0.91 | 4.39 | <0.0001 |
| Other race | 1.41 | 0.60 | 3.29 | <0.0001 |
| Congestive heart failure | 2.79 | 1.82 | 4.28 | <0.0001 |
| Perivascular disease | 2.32 | 1.27 | 4.21 | 0.006 |
| Paralysis | 2.27 | 1.48 | 3.50 | 0.0002 |
| Chronic lung disease | 1.58 | 1.12 | 2.23 | 0.0097 |
| Renal failure | 2.04 | 1.26 | 3.30 | 0.0039 |
| Coagulation | 2.31 | 1.25 | 4.27 | 0.0075 |
| Fluid/electrolyte disorders | 6.54 | 4.49 | 9.52 | <0.0001 |
| Circumferential surgery | 2.93 | 1.75 | 4.90 | <0.0001 |
| Pneumonia | 5.80 | 3.33 | 10.10 | <0.0001 |
| Postoperative infection | 6.95 | 3.08 | 15.67 | <0.0001 |
| Urinary tract infection | 5.12 | 3.28 | 8.00 | <0.0001 |
Abbreviation: CI, confidence interval.
Multivariate regression analysis in patients undergoing degenerative cervical spine surgery identified C. difficile infection as a significant risk factor for inpatient mortality (OR = 3.99, 95% CI = 2.15 to 7.38, p < 0.0001; Table 3). In addition to increasing the odds of infection, circumferential fusion was also significantly associated with increased overall inpatient mortality in this population (OR = 2.74, 95% CI = 1.92 to 3.91, p < 0.0001).
Table 3. Independent risk factors increasing the odds of inpatient mortality after cervical spine surgery.
| Risk factor | Odds ratio | Low 95% CI | High 95% CI | p Value |
|---|---|---|---|---|
| Clostridium difficile | 3.99 | 2.15 | 7.38 | <0.0001 |
| Age > 65 y | 3.82 | 3.05 | 4.8 | <0.0001 |
| Teaching hospital | 1.29 | 1.05 | 1.59 | 0.016 |
| Congestive heart failure | 3.81 | 2.8 | 5.18 | <0.0001 |
| Paralysis | 5.12 | 4.02 | 6.52 | <0.0001 |
| Neurologic complications | 1.8 | 1.29 | 2.52 | 0.001 |
| Pulmonary circulatory disorders | 6.47 | 4.06 | 10.32 | <0.0001 |
| Renal failure | 2.33 | 1.64 | 3.29 | <0.0001 |
| Acquired immune deficiency | 3.33 | 1.1 | 10.07 | 0.033 |
| Coagulation | 3.93 | 2.8 | 5.51 | <0.0001 |
| Fluid/electrolyte disorder | 5.27 | 4.15 | 6.68 | <0.0001 |
| Circumferential surgery | 2.74 | 1.92 | 3.91 | <0.0001 |
Abbreviation: CI, confidence interval.
Discussion
This study demonstrates that C. difficile infection after cervical spine surgery for degenerative pathology is a rare, yet morbid and fatal postoperative complication. The rate of C. difficile infection significantly increased after cervical spine surgery from 2002 to 2011, and overall prevalence was 0.08%. There are multiple reasons for this observation, from better reporting to improved diagnostic techniques. There is growing evidence that postoperative C. difficile incidence may be increasing due to evolving antibiotic-resistant strains, such as the hypervirulent strain NAP1/BI/027.6 22 Our study indicates that C. difficile is a significant independent risk factor associated with inpatient mortality in patients after cervical spine surgery.
The increased risk of C. difficile infection after degenerative cervical spine surgery in patients with certain comorbidities such as advanced chronic kidney disease (CKD) that cause impaired immunity is well recognized in the literature.23 24 Patients with CKD have dysfunctional gastric acid secretion and are susceptible to infections that may require antibiotics, thus making this patient population particularly vulnerable.24 25 There is a similar, although distinct, risk seen in those patients who have been on prolonged treatment with proton pump inhibitors prior to surgery.12 26 Patients in this population with postoperative infection like pneumonia have understandably higher odds for postoperative C. difficile colitis, presumably due to the use of antibiotics to treat such infections. However, not all cases of C. difficile in this population had these common infections and thus there may have been some cases in which the administration of antibiotics was suboptimal.
The increased rate of C. difficile in patients with Medicare versus private insurance may be due to an age effect that cannot be completely explained by the NIS. However, because most patients eligible for Medicare are, at minimum, 65 years of age or with a severe medical comorbidity, it is possible that the Medicare beneficiaries are slightly sicker and at an increased risk of infection.27 Indirectly supporting this age effect is the fact that in multivariate analysis for C. difficile infection, age > 65 was a significant independent variable for the risk of infection.
Although the NIS has limitations with respect to detailed surgical techniques, such as explicit procedure (e.g., anterior corpectomy and fusion), our study shows the effect different general procedures had on C. difficile incidence and overall inpatient mortality. Posterior approaches had a higher incidence of C. difficile when compared with anterior approaches, likely because the anterior approach is relatively muscle-sparing and the posterior approach is muscle-splitting and may be associated with longer LOS, which may lead some surgeons to expose these patients to prolonged antibiotic administration. In multivariate analyses for postoperative C. difficile diagnosis and inpatient mortality, circumferential fusion was associated with increased likelihood of postoperative C. difficile colitis and increased risk for in-hospital death. Increased incidence of C. difficile infection and general inpatient mortality in these cases may be due to the invasive nature of the combined approach, leading to longer operating times, increased perioperative antibiotic administration, and a more difficult postoperative course.
Despite no antibiotic data available in the NIS, there are some important considerations that should be addressed. Because the development of C. difficile infection is not necessarily dependent on the type of procedure but rather antibiotic administration, it is critical that spine surgeons follow the hospital-instituted antibiotic guidelines to avoid potential complications. The use of any antibiotics, but more commonly clindamycin, cephalosporins (second-generation or higher), fluoroquinolones, and multiple regimens, is believed to modify the normal gut microflora, predisposing to C. difficile colitis.4 22 28 Currently, The Clinical Practice Guidelines for Antimicrobial Prophylaxis in Surgery, developed in a collaborative effort by the American Society of Health Care Pharmacist, recommends a single dose of cefazolin or any other first-generation cephalosporin 1 hour prior to surgical incision, as antibiotic prophylaxis for orthopedic spine surgeries with or without instrumention.29 These same guidelines indicate that clindamycin or vancomycin may be used in those patients who have a β-lactam allergy.
These evidence-based guidelines and others, such as the Surgical Care Improvement Project, are not universally followed, and clinical experience shows that spine surgeons may utilize modified antibiotic practices that can lead to rare but potentially deadly infections such as C. difficile colitis.
The economic impact of C. difficile must also not be overlooked. Cervical spine patients with C. difficile infection cost approximately $6,830,695 per year to manage as calculated by median costs and total number of patients with infection averaged over our study period (Table 4), which is a significant impact on health resources despite being a rare occurrence.
Table 4. Costs and length of stay in patients with or without Clostridium difficile after degenerative cervical spine surgery.
| Hospital costs (U.S. $) | Length of stay (d) | |||||
|---|---|---|---|---|---|---|
| No C. difficile | C. difficile | p Value | No C. difficile | C. difficile | p Value | |
| Fusion revisiona | ||||||
| Mean | 19,542 | 100,676 | <0.0001 | 3.25 | 22.81 | <0.0001 |
| Median | 14,777 | 88,006 | <0.0001 | 1.55 | 17.82 | <0.0001 |
| Q1 | 10,403 | 48,199 | 0.69 | 5.72 | ||
| Q3 | 22,709 | 110,284 | 2.95 | 32.53 | ||
| Circumferential fusionb | ||||||
| Mean | 40,865 | 71,002 | <0.0001 | 7.06 | 24.98 | <0.0001 |
| Median | 34,510 | 66,805 | <0.0001 | 4.16 | 19.09 | <0.0001 |
| Q1 | 24,085 | 31,765 | 2.49 | 7.62 | ||
| Q3 | 49,849 | 78,973 | 7.38 | 28.64 | ||
| Single-stage surgeryc | ||||||
| Mean | 13,892 | 64,431 | <0.0001 | 2.37 | 25.2 | <0.0001 |
| Median | 11,342 | 48,045 | <0.0001 | 0.88 | 19.39 | <0.0001 |
| Q1 | 8,309 | 30,077 | 0.43 | 11.29 | ||
| Q3 | 16,036 | 79,298 | 1.9 | 30.82 | ||
| All cervical surgeries | ||||||
| Mean | 14,520 | 66,237 | <0.0001 | 2.48 | 25.1 | <0.0001 |
| Median | 11,530 | 53,785 | <0.0001 | 0.91 | 19.15 | <0.0001 |
| Q1 | 8,399 | 30,321 | 0.44 | 10.9 | ||
| Q3 | 16,550 | 81,868 | 1.97 | 31.07 | ||
Anterior fusion revision or posterior fusion revision.
Concurrent anterior and posterior fusion.
Anterior fusion, posterior fusion, or posterior decompression without fusion.
Limitations
Several important conclusions cannot be made due to limitations when using the NIS. One such limitation is the absence of data on antibiotic administration. Because weakening the resistance and altering the normal intestinal microbiota by antibiotics remains the single most important risk factor for colonization and susceptibility to infection, important observations about dosage, duration, and high-risk antibiotics would have been of vital importance.30 The identified risk factors such as increased incidence of postoperative infections, certain comorbidities such as CKD, or complex two-step procedures such as circumferential surgery may be surrogates for the use of multiple or more broad-spectrum antibiotics rather than being the primary risk factors.
Despite relatively reliable medical tests to diagnose C. difficile infection, the method of diagnosis is not available when using the NIS.4 Errors in C. difficile diagnosis may stem from prophylactically identifying patients experiencing an active infection at the first sign of postoperative diarrhea. Although these patients may indeed have C. difficile infection, the diagnosis cannot be confirmed until proper laboratory tests are performed, which may lead to an overestimation of C. difficile incidence. However, these same conclusions may lead to an underestimation because some patients with postoperative diarrhea may be falsely classified as not having an active infection.
Conclusion
With the use of the NIS, we were able to accurately investigate the national trend of C. difficile infection after elective cervical spine surgery for degenerative causes. Postoperative C. difficile infection in this population results in extended hospital stay, greater costs, and increased inpatient mortality. Although being a rare infection after cervical spine surgery, it is significantly increasing in incidence likely due to novel antibiotic-resistant strains and improper antibiotic use. Due to the fatal impact this infection carries, proper pre- and postoperative antibiotic stewardship should be practiced in this population especially in patients > 65 years of age and with high-risk comorbidities such as diabetes with chronic complications and CKD.
Footnotes
Disclosures Javier Z. Guzman, none Branko Skovrlj, none Edward S. Rothenberg, none Young Lu, none Steven McAnany, none Samuel K. Cho, none Andrew C. Hecht, none Sheeraz A. Qureshi, none
References
- 1.Cohen S H, Gerding D N, Johnson S. et al. Clinical practice guidelines for Clostridium difficile infection in adults: 2010 update by the society for healthcare epidemiology of America (SHEA) and the infectious diseases society of America (IDSA) Infect Control Hosp Epidemiol. 2010;31(5):431–455. doi: 10.1086/651706. [DOI] [PubMed] [Google Scholar]
- 2.Wiegand P N, Nathwani D, Wilcox M H, Stephens J, Shelbaya A, Haider S. Clinical and economic burden of Clostridium difficile infection in Europe: a systematic review of healthcare-facility-acquired infection. J Hosp Infect. 2012;81(1):1–14. doi: 10.1016/j.jhin.2012.02.004. [DOI] [PubMed] [Google Scholar]
- 3.Bobo L D, Dubberke E R, Kollef M. Clostridium difficile in the ICU: the struggle continues. Chest. 2011;140(6):1643–1653. doi: 10.1378/chest.11-0556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Knight C L Surawicz C M Clostridium difficile infection Med Clin North Am 2013974523–536., ix [DOI] [PubMed] [Google Scholar]
- 5.Zerey M, Paton B L, Lincourt A E, Gersin K S, Kercher K W, Heniford B T. The burden of Clostridium difficile in surgical patients in the United States. Surg Infect (Larchmt) 2007;8(6):557–566. doi: 10.1089/sur.2006.062. [DOI] [PubMed] [Google Scholar]
- 6.Lo Vecchio A, Zacur G M. Clostridium difficile infection: an update on epidemiology, risk factors, and therapeutic options. Curr Opin Gastroenterol. 2012;28(1):1–9. doi: 10.1097/MOG.0b013e32834bc9a9. [DOI] [PubMed] [Google Scholar]
- 7.Lawley T D, Clare S, Walker A W. et al. Antibiotic treatment of Clostridium difficile carrier mice triggers a supershedder state, spore-mediated transmission, and severe disease in immunocompromised hosts. Infect Immun. 2009;77(9):3661–3669. doi: 10.1128/IAI.00558-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Griniatsos J, Dimitriou N, Tyritzis S, Pappas P, Sougioultzis S, Stravodimos K. Toxic megacolon due to fulminant Clostridium difficile colitis. Acta Gastroenterol Belg. 2011;74(2):359–360. [PubMed] [Google Scholar]
- 9.Musher D M Aslam S Treatment of Clostridium difficile colitis in the critical care setting Crit Care Clin 2008242279–291., viii [DOI] [PubMed] [Google Scholar]
- 10.Maltenfort M G, Rasouli M R, Morrison T A, Parvizi J. Clostridium difficile colitis in patients undergoing lower-extremity arthroplasty: rare infection with major impact. Clin Orthop Relat Res. 2013;471(10):3178–3185. doi: 10.1007/s11999-013-2906-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Skovrlj B, Guzman J Z, Silvestre J, Al Maaieh M, Qureshi S A. Clostridium difficile colitis in patients undergoing lumbar spine surgery. Spine (Phila Pa 1976) 2014;39(19):E1167–E1173. doi: 10.1097/BRS.0000000000000487. [DOI] [PubMed] [Google Scholar]
- 12.Campbell K A, Phillips M S, Stachel A, Bosco J A III, Mehta S A. Incidence and risk factors for hospital-acquired Clostridium difficile infection among inpatients in an orthopaedic tertiary care hospital. J Hosp Infect. 2013;83(2):146–149. doi: 10.1016/j.jhin.2012.11.009. [DOI] [PubMed] [Google Scholar]
- 13.Jenkins P J, Teoh K, Simpson P M, Dave J, Simpson A H, Breusch S. Clostridium difficile in patients undergoing primary hip and knee replacement. J Bone Joint Surg Br. 2010;92(7):994–998. doi: 10.1302/0301-620X.92B7.23412. [DOI] [PubMed] [Google Scholar]
- 14.HCUP Nationwide Inpatient Sample (NIS) Healthcare Cost and Utilization Project (HCUP). 2002–2011 Rockville, MD: Agency for Healthcare Research and Quality. Available at: www.hcup-us.ahrq.gov/nisoverview.jsp. Accessed April 7, 2014
- 15.Healthcare Cost and Utilization Project (HCUP) HCUP technical assistance Agency for Healthcare Research and Quality (AHRQ), 2014. Available at: http://www.hcup-us.ahrq.gov/tech_assist/nationalestimates/Interactive/course.htm. Accessed April 7, 2014
- 16.Menendez M E, Neuhaus V, van Dijk C N, Ring D. The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery. Clin Orthop Relat Res. 2014;472(9):2878–2886. doi: 10.1007/s11999-014-3686-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.van Walraven C, Austin P C, Jennings A, Quan H, Forster A J. A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data. Med Care. 2009;47(6):626–633. doi: 10.1097/MLR.0b013e31819432e5. [DOI] [PubMed] [Google Scholar]
- 18.Elixhauser A, Steiner C, Harris D R, Coffey R M. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27. doi: 10.1097/00005650-199801000-00004. [DOI] [PubMed] [Google Scholar]
- 19.Sharabiani M T, Aylin P, Bottle A. Systematic review of comorbidity indices for administrative data. Med Care. 2012;50(12):1109–1118. doi: 10.1097/MLR.0b013e31825f64d0. [DOI] [PubMed] [Google Scholar]
- 20.Healthcare Cost and Utilization Project (HCUP) Cost-to-Charge Ratio Files 2002–2011. Rockville, MD: Agency for Healthcare Research and Quality. Available at: www.hcup-us.ahrq.gov/db/state/costtocharge.jsp. Accessed November 2, 2013
- 21.Bureau of Labor Statistics CPI inflation calculator Available at: http://data.bls.gov/cgi-bin/cpicalc.pl. Accessed November 26, 2013
- 22.Carignan A, Allard C, Pépin J, Cossette B, Nault V, Valiquette L. Risk of Clostridium difficile infection after perioperative antibacterial prophylaxis before and during an outbreak of infection due to a hypervirulent strain. Clin Infect Dis. 2008;46(12):1838–1843. doi: 10.1086/588291. [DOI] [PubMed] [Google Scholar]
- 23.Mullane K M, Cornely O A, Crook D W. et al. Renal impairment and clinical outcomes of Clostridium difficile infection in two randomized trials. Am J Nephrol. 2013;38(1):1–11. doi: 10.1159/000351757. [DOI] [PubMed] [Google Scholar]
- 24.Keddis M T, Khanna S, Noheria A, Baddour L M, Pardi D S, Qian Q. Clostridium difficile infection in patients with chronic kidney disease. Mayo Clin Proc. 2012;87(11):1046–1053. doi: 10.1016/j.mayocp.2012.05.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.McConnell J B, Stewart W K, Thjodleifsson B, Wormsley K G. Gastric function in chronic renal failure. Effects of maintenance haemodialysis. Lancet. 1975;2(7945):1121–1123. doi: 10.1016/s0140-6736(75)91007-7. [DOI] [PubMed] [Google Scholar]
- 26.Yam F K, Smith K M. “Collateral damage”: antibiotics and the risk of Clostridium difficile infection. Orthopedics. 2005;28(3):275–279. doi: 10.3928/0147-7447-20050301-12. [DOI] [PubMed] [Google Scholar]
- 27.The Official U.S. Government Site for Medicare . Available at: https://www.medicare.gov/. Accessed July 19, 2015
- 28.Owens R C Jr, Donskey C J, Gaynes R P, Loo V G, Muto C A. Antimicrobial-associated risk factors for Clostridium difficile infection. Clin Infect Dis. 2008;46(1) 01:S19–S31. doi: 10.1086/521859. [DOI] [PubMed] [Google Scholar]
- 29.Bratzler D W, Dellinger E P, Olsen K M. et al. Clinical practice guidelines for antimicrobial prophylaxis in surgery. Am J Health Syst Pharm. 2013;70(3):195–283. doi: 10.2146/ajhp120568. [DOI] [PubMed] [Google Scholar]
- 30.Leffler D A, Lamont J T. Clostridium difficile infection. N Engl J Med. 2015;372(16):1539–1548. doi: 10.1056/NEJMra1403772. [DOI] [PubMed] [Google Scholar]