Literature DB >> 31799333

Risk Factors for BI/NAP1/027 Clostridioides difficile Infections and Clinical Outcomes Compared With Non-NAP1 Strains.

Nandita S Mani1, John B Lynch1, Ferric C Fang1,2, Jeannie D Chan1,3.   

Abstract

We aim to describe the characteristics, risk factors, and clinical outcomes associated with NAP1 strain Clostridioides difficile infection (CDI) in this single-center, retrospective, case-control (1:1) study. We found that the NAP1 strain accounted for 19.7% of CDI, and risk factors for acquisition included residence in skilled nursing facilities, previous CDI, and proton pump inhibitor use.
© The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Entities:  

Keywords:  Clostridium difficile; NAP1; outcomes; risk factors

Year:  2019        PMID: 31799333      PMCID: PMC6884313          DOI: 10.1093/ofid/ofz433

Source DB:  PubMed          Journal:  Open Forum Infect Dis        ISSN: 2328-8957            Impact factor:   3.835


The clinical profile of Clostridioides difficile infection (CDI) has been complicated by a hypervirulent strain, known as the North American pulsed-field gel electrophoresis type 1 (NAP1) strain. Risk factors for the NAP1 strain include prior fluoroquinolone use, admission from a skilled nursing facility, and advanced age [1-3]. Clinical outcomes of patients based on CDI ribotype have been investigated, but the findings have been mixed. Although some studies have demonstrated that the NAP1 strain is a predictor of disease severity, recurrence, or increased mortality [2, 4–6], others have shown no association between NAP1 strains and clinical outcomes [3, 7–9]. Our study aimed to describe the clinical features and risk factors associated with NAP1 and to further characterize the clinical outcomes of NAP1 strains in our patient population.

METHODS

A single-center, retrospective, case–control (1:1) study was conducted at a 413-bed university-affiliated urban teaching hospital and level 1 trauma and burn center, Harborview Medical Center, located in Seattle, Washington. Medical records of hospitalized patients who were ≥18 years old with a positive C. difficile polymerase chain reaction (PCR) detected by Xpert CDI Epi assay between February 2014 and May 2015 were reviewed. CDI was defined as an episode of clinically significant diarrhea that warranted PCR testing and required antimicrobial treatment. For each patient diagnosed with NAP1 CDI, 1 control patient with non-NAP1 CDI was randomly selected by a computer-generated program matched for admitting medical service and intensive care unit (ICU) stay. Hospital-acquired CDI and community-acquired CDI were defined as a positive CDI PCR ≥72 or <72 hours from hospital admission, respectively. Hospital-acquired CID and community-acquired CDI were defined in accordance with internal definitions used by the Infection Prevention and Control team at our institution. Severity of disease was assessed based on the 2010 Society for Healthcare Epidemiology and Infectious Disease Society of America (SHEA-IDSA) criteria [10]. Chart review was conducted to identify potential risk factors for CDI, including age, broad-spectrum antibiotic use in the 30 days preceding diagnosis (defined as cephalosporins, carbapenems, piperacillin-tazobactam, clindamycin, or fluoroquinolones), hospitalization in the preceding 90 days, residence at a skilled nursing facility, proton pump inhibitor (PPI) use, and CDI in the preceding 12 months. Prior CDI was not further categorized as NAP1 or non-NAP1, due to the fact that NAP1 testing was introduced just before the study period. Clinical cure was defined as resolution of diarrhea (ie, ≤3 unformed stools for 2 consecutive days) after the end of the course of therapy. The primary objectives were to describe disease severity and determine risk factors associated with CDI due to the NAP1 strain. Secondary outcomes included clinical cure rate, 90-day CDI recurrence rate, and hospital mortality. The institutional review board of the University of Washington approved this study and waived written informed consent. Variables were compared using the Student t test for continuous variables and the chi-square test or Wilcoxon rank-sum test for categorical variables. A 2-sided P value of <.05 was considered statistically significant. Multivariate logistic regression models with robust variance estimates were performed using Stata Software (Stata Corporation, College Station, TX, USA). A parsimonious model adjusting for covariates, including age, gender, ethnicity, medical comorbidities, prior CDI in the past 12 months, hospitalization in the past 90 days, admission from a skilled nursing facility, prior antibiotics, and PPI use 30 days before CDI, was selected.

RESULTS

Our study was conducted during a nonepidemic CDI time period, and the incidence of CDI at our institution was steady from 2012 to 2015. The incidence of nosocomial colonization or infection of C. difficile was 8.91/10 000 patient-days in 2012, 7.18/10 000 patient-days in 2013, 8.33/10 000 patient-days in 2014, and 7.97/10 000 patient-days in 2015. During the study period, a total of 213 stool specimens were positive for C. difficile by PCR, and 42 (19.7%) were positive for NAP1. Cases with NAP1 CDI were more likely to have been hospitalized in the preceding 90 days before CDI diagnosis (64.3% vs 38.1%), more likely to have been admitted from a skilled nursing facility (38.1% vs 9.5%), and more likely to have been prescribed PPIs (35.7% vs 14.3%) than controls with a non-NAP1 strain. Cases with the NAP1 strain tended to have a higher median white blood cell count when compared with controls (Table 1). The presence of shock or megacolon at diagnosis was similar between the NAP1 and non-NAP1 groups, but the incidence of ileus at the time of CDI diagnosis (16.7% vs 2.4%) was higher among cases with the NAP1 strain (Table 1).
Table 1.

Characteristics and Outcomes of NAP1 vs non-NAP1 Patients

NAP1 (n = 42), No. (%)Non NAP1 (n = 42), No. (%) P Valueb
Patient demographics
Median age, IQR, y60.5, 54–6661, 51–69NS
Male sex20 (47.6)24 (57.1)NS
EthnicityNS
 Non-Hispanic Caucasian31 (73.8)31 (73.8)
 African American7 (16.7)1 (2.4)
 Asian/Pacific Islander1 (2.4)5 (11.9)
 Native American1 (2.4)3 (7.1)
 Hispanic2 (4.8)2 (4.8)
Hospitalized in the last 90 d27 (64.3)16 (38.1).0170
Nursing home before admission16 (38.1)4 (9.5).0022
Medical history
Cardiovascular disease1 (2.4)7 (16.7).0266
Any malignancy10 (23.8)6 (14.3)NS
COPD12 (28.6)4 (9.5).0271
Chronic kidney disease13 (31.0)8 (19.1)NS
Diabetes mellitus17 (40.5)11 (26.2)NS
Recent surgery within the last 30 d13 (31.0)22 (52.4).0477
HIV1 (2.4)0 (0.0)NS
Cirrhosis3 (7.1)0 (0.0)NS
Heart failure9 (21.4)1 (2.4).0074
Markers of CDI severity
Median WBC at time of diagnosis, IQR, 1000 cells/μL18.3, 7.9–20.112.9, 7.2–16.0.0468
Median Peak WBC during hospitalization, IQR, 1000 cells/μL21.6, 12.2–35.617.3, 12.8–22.0.0110
Abdominal tenderness at diagnosis10 (23.8)8 (19.1)NS
Presence of shock at diagnosis9 (21.4)5 (11.9)NS
Presence of ileus at diagnosis7 (16.7)1 (2.4).0266
Presence of megacolon at diagnosis3 (7.1)0 (0.0)NS
Mechanical ventilation during CDI18 (42.9)14 (33.3)NS
IDSA/SHEA severitya [10]NS
 Mild/moderate18 (42.9)22 (52.4)
 Severe and severe and complicated24 (57.1)20 (47.6)
Hospital-acquired24 (57.1)27 (64.3)NS
Community-acquired18 (42.9)15 (37.5)
Risk factors For CDI
Prior antibiotics in the last 30 d31 (73.8)25 (59.5)NS
Prior CDI in the last 12 mo10 (23.8)2 (4.8).0132
PPI use in the last 30 d (inpatient)9 (21.4)11 (26.2)NS
PPI use in the last 30 d (outpatient)15 (35.7)6 (14.3).0242
CDI treatment
Metronidazole alone10 (23.8)6 (14.3)NS
Vancomycin alone18 (43.9)15 (36.6)NS
Combination therapy6 (14.6)10 (24.4)NS
Therapy escalation7 (17.1)10 (24.4)NS
Clinical outcomes
Recurrence of CDI within 90 d7 (16.7)2 (4.8)NS
Second recurrence of CDI within 90 d1 (2.4)0 (0.0)NS
Alive at hospital discharge32 (76.2)36 (85.7)NS
Clinical cureNS
 Yes22 (52.4)27 (64.3)
 No13 (31.0)8 (19.1)
 Indeterminate7 (16.7)7 (16.7)
Hospital length of stay, mean ± SD [range], d20.9 ± 25.1 [2–106]21.0 ± 18.5 [2–78]NS
ICU length of stay, mean ± SD [range], d10.0 ± 11.2 [1–42]11.2 ± 9.3 [1–33]NS

Abbreviations: CDI, Clostridium difficile infection; COPD, chronic obstructive pulmonary disease; ICU, intensive care unit; IDSA, Infectious Diseases Society of America; IQR, interquartile range; NS, nonsignificant; PPI, proton pump inhibitor; SHEA, Society of Healthcare Epidemiology of America; WBC, white blood cell.

aTwo patients did not receive therapy for C. difficile due to transition to comfort care.

b P values >.05 were considered nonsignificant.

Characteristics and Outcomes of NAP1 vs non-NAP1 Patients Abbreviations: CDI, Clostridium difficile infection; COPD, chronic obstructive pulmonary disease; ICU, intensive care unit; IDSA, Infectious Diseases Society of America; IQR, interquartile range; NS, nonsignificant; PPI, proton pump inhibitor; SHEA, Society of Healthcare Epidemiology of America; WBC, white blood cell. aTwo patients did not receive therapy for C. difficile due to transition to comfort care. b P values >.05 were considered nonsignificant. There was no observed difference in clinical cure rate or recurrence rate between the 2 groups (Table 1). The all-cause in-hospital mortality rate was 23.8% in the NAP1 group compared with 14.3% in the non-NAP1 group (P = .27). The average hospital and ICU length of stay was similar between the 2 groups. Multivariate logistic regression analysis indicated risk factors for acquisition of NAP1 CDI, including residence in a skilled nursing facility (SNF; odds ratio [OR], 12.6; 95% confidence interval [CI], 2.6–60.9), CDI in the previous 12 months (OR, 17.2; 95% CI, 2.5–117.1), and PPI use in preceding month (OR, 5.6; 95% CI, 1.03–30.4), as outlined in Table 2.
Table 2.

Multivariate Logistic Regression Analysis for Risk Factors for NAP1 CDI

Risk FactorsOdds Ratio95% CI P Value
Resident at a nursing home before hospitalization12.62.6–60.9.002
Prior CDI during the last 12 mo of hospitalization17.22.5–117.1.004
PPI use in the last 30 d in the outpatient setting5.61.03–30.4.045

Abbreviations: CDI, Clostridium difficile infection; CI, confidence interval; PPI, proton pump inhibitor.

Multivariate Logistic Regression Analysis for Risk Factors for NAP1 CDI Abbreviations: CDI, Clostridium difficile infection; CI, confidence interval; PPI, proton pump inhibitor.

DISCUSSION

We observed a NAP1 prevalence of 19.7%, which is consistent with findings from other investigations that reported a NAP1 positivity rate ranging between 18% and 24% [3, 9, 11]. We did not observe any significant difference between the NAP1 and non-NAP1 groups in terms of disease severity, recurrence rates, hospital length of stay, or mortality. Our study demonstrated that residence in a nursing facility, outpatient PPI use, and prior CDI within 12 months are significant risk factors for developing CDI caused by the NAP1 strain. Residence in a nursing facility has previously been reported as an independent predictor of NAP1 CDI, and our study further supports this observation [2, 3]. In a Veterans Affairs hospital and its affiliated long-term care facility (LTCF), the NAP1 strain was the most common strain recovered from CDI cases and asymptomatic carriers, and this strain also accounted for all transmission events [12]. These results suggest that LTCF residents with asymptomatic carriage of C. difficile or CDI may contribute significantly to transmission in LTCFs and during hospitalizations. We also showed that outpatient PPI use in the 30 days before admission was an independent risk factor for the development of CDI due to NAP1. This might relate to the enhanced expression of toxin in NAP1 strains in the presence of a PPI [13]. Notably, our study differed from prior studies, including that of Scardina et al., which included only incident cases of CDI [3]. We found that CDI in the preceding 12 months was an independent risk factor for the development of NAP1 CDI compared with those with no prior CDI in the last year. Our study has significant limitations given the small sample size and the inherent constraints of a single-center retrospective chart abstraction. Additionally, due to the small sample size, multivariate logistic regression may have led to overestimation of the effect size. Larger-scale studies will need to be performed in order to better understand the relationship between the NAP1 strain and clinical outcomes and to determine whether treatment decisions should be impacted by strain type.
  13 in total

1.  Lack of association between clinical outcome of Clostridium difficile infections, strain type, and virulence-associated phenotypes.

Authors:  Stéphanie Sirard; Louis Valiquette; Louis-Charles Fortier
Journal:  J Clin Microbiol       Date:  2011-09-28       Impact factor: 5.948

2.  Transmission of Clostridium difficile from asymptomatically colonized or infected long-term care facility residents.

Authors:  Curtis J Donskey; Venkata C K Sunkesula; Nimalie D Stone; Carolyn V Gould; L Clifford McDonald; Matthew Samore; JeanMarie Mayer; Susan M Pacheco; Annette L Jencson; Susan P Sambol; Laurica A Petrella; Christopher A Gulvik; Dale N Gerding
Journal:  Infect Control Hosp Epidemiol       Date:  2018-05-31       Impact factor: 3.254

3.  Correlation between virulence gene expression and proton pump inhibitors and ambient pH in Clostridium difficile: results of an in vitro study.

Authors:  David B Stewart; John P Hegarty
Journal:  J Med Microbiol       Date:  2013-06-25       Impact factor: 2.472

4.  NAP1 strain type predicts outcomes from Clostridium difficile infection.

Authors:  Isaac See; Yi Mu; Jessica Cohen; Zintars G Beldavs; Lisa G Winston; Ghinwa Dumyati; Stacy Holzbauer; John Dunn; Monica M Farley; Carol Lyons; Helen Johnston; Erin Phipps; Rebecca Perlmutter; Lydia Anderson; Dale N Gerding; Fernanda C Lessa
Journal:  Clin Infect Dis       Date:  2014-03-05       Impact factor: 9.079

5.  Clostridium difficile ribotype does not predict severe infection.

Authors:  Seth T Walk; Dejan Micic; Ruchika Jain; Eugene S Lo; Itishree Trivedi; Eugene W Liu; Luay M Almassalha; Sarah A Ewing; Cathrin Ring; Andrzej T Galecki; Mary A M Rogers; Laraine Washer; Duane W Newton; Preeti N Malani; Vincent B Young; David M Aronoff
Journal:  Clin Infect Dis       Date:  2012-09-12       Impact factor: 9.079

6.  Clostridium difficile infection (CDI) severity and outcome among patients infected with the NAP1/BI/027 strain in a non-epidemic setting.

Authors:  T Scardina; L Labuszewski; S M Pacheco; W Adams; P Schreckenberger; S Johnson
Journal:  Infect Control Hosp Epidemiol       Date:  2015-03       Impact factor: 3.254

7.  Decreased cure and increased recurrence rates for Clostridium difficile infection caused by the epidemic C. difficile BI strain.

Authors:  Laurica A Petrella; Susan P Sambol; Adam Cheknis; Kristin Nagaro; Yin Kean; Pamela S Sears; Farah Babakhani; Stuart Johnson; Dale N Gerding
Journal:  Clin Infect Dis       Date:  2012-04-20       Impact factor: 9.079

8.  Impact of the NAP-1 strain on disease severity, mortality, and recurrence of healthcare-associated Clostridium difficile infection.

Authors:  Karri A Bauer; Jessica E W Johnston; Eric Wenzler; Debra A Goff; Charles H Cook; Joan-Miquel Balada-Llasat; Preeti Pancholi; Julie E Mangino
Journal:  Anaerobe       Date:  2017-06-21       Impact factor: 3.331

Review 9.  Risk factors for development of Clostridium difficile infection due to BI/NAP1/027 strain: a meta-analysis.

Authors:  Konstantinos Z Vardakas; Athanasios A Konstantelias; Giorgos Loizidis; Petros I Rafailidis; Matthew E Falagas
Journal:  Int J Infect Dis       Date:  2012-08-22       Impact factor: 3.623

10.  Clostridium difficile ribotype 027 is most prevalent among inpatients admitted from long-term care facilities.

Authors:  L R Archbald-Pannone; J H Boone; R J Carman; D M Lyerly; R L Guerrant
Journal:  J Hosp Infect       Date:  2014-07-30       Impact factor: 3.926

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